out.log

2023-09-13 20:00:06.671297 -> Data cleaning completed. Removed0records.
2023-09-13 20:00:06.672291 -> 44records remaining.
2023-09-13 20:00:06.672291 -> Reading data from CSV ...
2023-09-13 20:00:06.682774 -> SPLITTING DATA
2023-09-13 20:00:06.693743 -> ----- Done Splitting data -----
2023-09-13 20:01:05.598030 -> Data cleaning completed. Removed0records.
2023-09-13 20:01:05.598030 -> 44records remaining.
2023-09-13 20:01:05.599064 -> Reading data from CSV ...
2023-09-13 20:01:05.601073 -> SPLITTING DATA
2023-09-13 20:01:05.605077 -> ----- Done Splitting data -----
2023-09-13 20:01:05.605077 -> SIZE OF Train set: (30, 6)(30,)
2023-09-13 20:01:05.605077 -> SIZE OF Validation set: (9, 6)(9,)
2023-09-13 20:01:05.606092 -> SIZE OF Test set: (5, 6)(5,)
2023-09-13 20:01:58.279153 -> Data cleaning completed. Removed0records.
2023-09-13 20:01:58.280120 -> 44records remaining.
2023-09-13 20:01:58.280120 -> Reading data from CSV ...
2023-09-13 20:01:58.283147 -> SPLITTING DATA
2023-09-13 20:03:16.885854 -> Data cleaning completed. Removed0records.
2023-09-13 20:03:16.886824 -> 44records remaining.
2023-09-13 20:03:16.886824 -> Reading data from CSV ...
2023-09-13 20:03:16.888845 -> SPLITTING DATA
2023-09-13 20:03:16.891843 -> ----- Done Splitting data -----
2023-09-13 20:03:16.892806 -> SIZE OF Train set: (30, 6)(30,)
2023-09-13 20:03:16.892806 -> SIZE OF Validation set: (9, 6)(9,)
2023-09-13 20:03:16.893804 -> SIZE OF Test set: (5, 6)(5,)
2023-09-13 20:05:17.884118 -> Data cleaning completed. Removed0records.
2023-09-13 20:05:17.884118 -> 44records remaining.
2023-09-13 20:05:17.885073 -> Reading data from CSV ...
2023-09-13 20:05:17.887095 -> SPLITTING DATA
2023-09-13 20:05:17.891095 -> ----- Done Splitting data -----
 SIZE OF Train set: (30, 6)(30,)
 SIZE OF Validation set: (9, 6)(9,)
 SIZE OF Test set: (5, 6)(5,)
2023-09-13 20:36:38.648510 -> Data cleaning completed. Removed0records.
2023-09-13 20:36:38.649058 -> 44records remaining.
2023-09-13 20:36:38.649058 -> Reading data from CSV ...
2023-09-13 20:36:38.653051 -> SPLITTING DATA
2023-09-13 20:36:38.657039 -> ----- Done Splitting data -----
 SIZE OF Train set: (30, 6)(30,)
 SIZE OF Validation set: (9, 6)(9,)
 SIZE OF Test set: (5, 6)(5,)
2023-09-13 20:44:57.712270 -> Data cleaning completed. Removed0records.
2023-09-13 20:44:57.713242 -> 44records remaining.
2023-09-13 20:44:57.713242 -> Reading data from CSV ...
2023-09-13 20:44:57.716233 -> SPLITTING DATA
2023-09-13 20:44:57.719263 -> ----- Done Splitting data -----
2023-09-13 20:44:57.724629 -> Train{'len': 30, 'features': 6, 'count': label
M    16
B    14
Name: count, dtype: int64}
2023-09-13 20:44:57.726433 -> Validation{'len': 9, 'features': 6, 'count': label
B    5
M    4
Name: count, dtype: int64}
2023-09-13 20:44:57.727429 -> Test{'len': 5, 'features': 6, 'count': label
B    4
M    1
Name: count, dtype: int64}
2023-09-13 20:48:21.314563 -> Data cleaning completed. Removed0records.
2023-09-13 20:48:21.315560 -> 44records remaining.
2023-09-13 20:48:21.315560 -> Reading data from CSV ...
2023-09-13 20:48:21.318562 -> SPLITTING DATA
2023-09-13 20:48:21.321556 -> ----- Done Splitting data -----
2023-09-13 20:48:21.322555 -> Train{'len': 30, 'features': 6, 'count': label
M    17
B    13
Name: count, dtype: int64}
2023-09-13 20:48:21.323551 -> Validation{'len': 9, 'features': 6, 'count': label
B    7
M    2
Name: count, dtype: int64}
2023-09-13 20:48:21.324648 -> Test{'len': 5, 'features': 6, 'count': label
B    3
M    2
Name: count, dtype: int64}
2023-09-13 21:16:35.628286 -> Data cleaning completed. Removed0records.
2023-09-13 21:16:35.628286 -> 44records remaining.
2023-09-13 21:16:35.629284 -> Reading data from CSV ...
2023-09-13 21:16:35.632276 -> SPLITTING DATA
2023-09-13 21:16:35.636265 -> ----- Done Splitting data -----
2023-09-13 21:16:35.637262 -> Train{'len': 30, 'features': 6, 'count': label
M    16
B    14
Name: count, dtype: int64}
2023-09-13 21:16:35.638259 -> Validation{'len': 9, 'features': 6, 'count': label
B    5
M    4
Name: count, dtype: int64}
2023-09-13 21:16:35.639332 -> Test{'len': 5, 'features': 6, 'count': label
B    4
M    1
Name: count, dtype: int64}
2023-09-13 21:16:35.640330 -> 

Training Classifiers ...
2023-09-13 21:16:35.640330 -> TRAINING: Random Forest
2023-09-13 21:16:35.645316 -> 




ERROR TRAINING Random Forest




2023-09-13 21:18:08.721017 -> Data cleaning completed. Removed0records.
2023-09-13 21:18:08.721017 -> 44records remaining.
2023-09-13 21:18:08.722098 -> Reading data from CSV ...
2023-09-13 21:18:08.724133 -> SPLITTING DATA
2023-09-13 21:18:08.727144 -> ----- Done Splitting data -----
2023-09-13 21:18:08.728114 -> Train{'len': 30, 'features': 6, 'count': label
B    16
M    14
Name: count, dtype: int64}
2023-09-13 21:18:08.729139 -> Validation{'len': 9, 'features': 6, 'count': label
M    5
B    4
Name: count, dtype: int64}
2023-09-13 21:18:08.730136 -> Test{'len': 5, 'features': 6, 'count': label
B    3
M    2
Name: count, dtype: int64}
2023-09-13 21:18:08.730136 -> 

Training Classifiers ...
2023-09-13 21:18:08.731106 -> TRAINING: Random Forest
2023-09-13 21:18:08.732131 -> !!! 

ERROR TRAINING Random Forest

2023-09-13 21:21:23.425387 -> Data cleaning completed. Removed0records.
2023-09-13 21:21:23.426383 -> 44records remaining.
2023-09-13 21:21:23.427382 -> Reading data from CSV ...
2023-09-13 21:21:23.430374 -> SPLITTING DATA
2023-09-13 21:21:23.433365 -> ----- Done Splitting data -----
2023-09-13 21:21:23.434363 -> Train{'len': 30, 'features': 6, 'count': label
B    16
M    14
Name: count, dtype: int64}
2023-09-13 21:21:23.435360 -> Validation{'len': 9, 'features': 6, 'count': label
B    5
M    4
Name: count, dtype: int64}
2023-09-13 21:21:23.436357 -> Test{'len': 5, 'features': 6, 'count': label
M    3
B    2
Name: count, dtype: int64}
2023-09-13 21:21:23.436357 -> 

Training Classifiers ...
2023-09-13 21:21:23.437353 -> TRAINING: Random Forest
2023-09-13 21:21:23.594222 -> !!! 

ERROR TRAINING Random Forest

2023-09-13 21:22:50.459582 -> Data cleaning completed. Removed0records.
2023-09-13 21:22:50.459582 -> 44records remaining.
2023-09-13 21:22:50.460579 -> Reading data from CSV ...
2023-09-13 21:22:50.462574 -> SPLITTING DATA
2023-09-13 21:22:50.465706 -> ----- Done Splitting data -----
2023-09-13 21:22:50.466703 -> Train{'len': 30, 'features': 6, 'count': label
B    17
M    13
Name: count, dtype: int64}
2023-09-13 21:22:50.467700 -> Validation{'len': 9, 'features': 6, 'count': label
B    5
M    4
Name: count, dtype: int64}
2023-09-13 21:22:50.468698 -> Test{'len': 5, 'features': 6, 'count': label
M    4
B    1
Name: count, dtype: int64}
2023-09-13 21:22:50.468698 -> 

Training Classifiers ...
2023-09-13 21:22:50.468698 -> TRAINING: Random Forest
2023-09-13 21:22:50.599695 -> !!! 

ERROR TRAINING Random Forest

2023-09-13 21:24:31.749691 -> Data cleaning completed. Removed0records.
2023-09-13 21:24:31.749691 -> 44records remaining.
2023-09-13 21:24:31.750773 -> Reading data from CSV ...
2023-09-13 21:24:31.752798 -> SPLITTING DATA
2023-09-13 21:24:31.756795 -> ----- Done Splitting data -----
2023-09-13 21:24:31.757796 -> Train{'len': 30, 'features': 6, 'count': label
B    15
M    15
Name: count, dtype: int64}
2023-09-13 21:24:31.758791 -> Validation{'len': 9, 'features': 6, 'count': label
B    6
M    3
Name: count, dtype: int64}
2023-09-13 21:24:31.759789 -> Test{'len': 5, 'features': 6, 'count': label
M    3
B    2
Name: count, dtype: int64}
2023-09-13 21:24:31.759789 -> 

Training Classifiers ...
2023-09-13 21:24:31.759789 -> TRAINING: Random Forest
2023-09-13 21:24:31.890999 -> !!! 

ERROR TRAINING Random Forest

2023-09-13 21:27:28.244748 -> Data cleaning completed. Removed0records.
2023-09-13 21:27:28.245718 -> 44records remaining.
2023-09-13 21:27:28.245718 -> Reading data from CSV ...
2023-09-13 21:27:28.247727 -> SPLITTING DATA
2023-09-13 21:27:28.250720 -> ----- Done Splitting data -----
2023-09-13 21:27:28.266626 -> Train{'len': 30, 'features': 6, 'count': label
M    17
B    13
Name: count, dtype: int64}
2023-09-13 21:27:28.267624 -> Validation{'len': 9, 'features': 6, 'count': label
B    7
M    2
Name: count, dtype: int64}
2023-09-13 21:27:28.268621 -> Test{'len': 5, 'features': 6, 'count': label
B    3
M    2
Name: count, dtype: int64}
2023-09-13 21:27:28.268621 -> 

Training Classifiers ...
2023-09-13 21:27:28.269618 -> TRAINING: Random Forest
2023-09-13 21:27:28.413238 -> !!! 

ERROR TRAINING Random Forest

2023-09-13 21:29:08.671448 -> Data cleaning completed. Removed0records.
2023-09-13 21:29:08.671448 -> 44records remaining.
2023-09-13 21:29:08.672447 -> Reading data from CSV ...
2023-09-13 21:29:08.677432 -> Data cleaning completed. Removed18records.
2023-09-13 21:29:08.677432 -> 26records remaining.
2023-09-13 21:29:08.678430 -> SPLITTING DATA
2023-09-13 21:29:08.682420 -> ----- Done Splitting data -----
2023-09-13 21:29:08.693390 -> Train{'len': 18, 'features': 5, 'count': label
M    13
B     5
Name: count, dtype: int64}
2023-09-13 21:29:08.694387 -> Validation{'len': 5, 'features': 5, 'count': label
M    4
B    1
Name: count, dtype: int64}
2023-09-13 21:29:08.695423 -> Test{'len': 3, 'features': 5, 'count': label
M    2
B    1
Name: count, dtype: int64}
2023-09-13 21:29:08.695423 -> 

Training Classifiers ...
2023-09-13 21:29:08.696402 -> TRAINING: Random Forest
2023-09-13 21:29:16.033458 -> 0.8333 (+/-0.2789) for {'max_depth': None, 'n_estimators': 50}
2023-09-13 21:29:16.033458 -> 0.7667 (+/-0.4876) for {'max_depth': None, 'n_estimators': 100}
2023-09-13 21:29:16.034812 -> 0.7167 (+/-0.4295) for {'max_depth': None, 'n_estimators': 200}
2023-09-13 21:29:16.034812 -> 0.95 (+/-0.2) for {'max_depth': 10, 'n_estimators': 50}
2023-09-13 21:29:16.035816 -> 0.7667 (+/-0.4876) for {'max_depth': 10, 'n_estimators': 100}
2023-09-13 21:29:16.036811 -> 0.7167 (+/-0.4295) for {'max_depth': 10, 'n_estimators': 200}
2023-09-13 21:29:16.036811 -> 0.7833 (+/-0.2261) for {'max_depth': 20, 'n_estimators': 50}
2023-09-13 21:29:16.037829 -> 0.7833 (+/-0.2261) for {'max_depth': 20, 'n_estimators': 100}
2023-09-13 21:29:16.037829 -> 0.7167 (+/-0.4295) for {'max_depth': 20, 'n_estimators': 200}
2023-09-13 21:29:16.038805 -> 0.7833 (+/-0.2261) for {'max_depth': 30, 'n_estimators': 50}
2023-09-13 21:29:16.038805 -> 0.7167 (+/-0.4295) for {'max_depth': 30, 'n_estimators': 100}
2023-09-13 21:29:16.039803 -> 0.7833 (+/-0.2261) for {'max_depth': 30, 'n_estimators': 200}
2023-09-13 21:29:16.039803 -> BEST PARAMS for RandomForrest: {'max_depth': 10, 'n_estimators': 50}

2023-09-13 21:29:16.040800 -> !!! 

ERROR TRAINING Random Forest

2023-09-13 21:30:41.609579 -> Data cleaning completed. Removed0records.
2023-09-13 21:30:41.609579 -> 44records remaining.
2023-09-13 21:30:41.610579 -> Reading data from CSV ...
2023-09-13 21:30:41.615638 -> Data cleaning completed. Removed18records.
2023-09-13 21:30:41.615638 -> 26records remaining.
2023-09-13 21:30:41.616636 -> SPLITTING DATA
2023-09-13 21:30:41.618722 -> ----- Done Splitting data -----
2023-09-13 21:30:41.627698 -> Train{'len': 18, 'features': 5, 'count': label
M    15
B     3
Name: count, dtype: int64}
2023-09-13 21:30:41.628697 -> Validation{'len': 5, 'features': 5, 'count': label
B    3
M    2
Name: count, dtype: int64}
2023-09-13 21:30:41.629693 -> Test{'len': 3, 'features': 5, 'count': label
M    2
B    1
Name: count, dtype: int64}
2023-09-13 21:30:41.630693 -> 

Training Classifiers ...
2023-09-13 21:30:41.630693 -> TRAINING: Random Forest
2023-09-13 21:30:48.965986 -> 0.8667 (+/-0.5333) for {'max_depth': None, 'n_estimators': 50}
2023-09-13 21:30:48.966944 -> 0.8667 (+/-0.5333) for {'max_depth': None, 'n_estimators': 100}
2023-09-13 21:30:48.966944 -> 0.8667 (+/-0.5333) for {'max_depth': None, 'n_estimators': 200}
2023-09-13 21:30:48.967941 -> 0.8667 (+/-0.5333) for {'max_depth': 10, 'n_estimators': 50}
2023-09-13 21:30:48.967941 -> 0.8667 (+/-0.5333) for {'max_depth': 10, 'n_estimators': 100}
2023-09-13 21:30:48.968938 -> 0.8667 (+/-0.5333) for {'max_depth': 10, 'n_estimators': 200}
2023-09-13 21:30:48.968938 -> 0.8167 (+/-0.5207) for {'max_depth': 20, 'n_estimators': 50}
2023-09-13 21:30:48.968938 -> 0.8667 (+/-0.5333) for {'max_depth': 20, 'n_estimators': 100}
2023-09-13 21:30:48.969935 -> 0.8667 (+/-0.5333) for {'max_depth': 20, 'n_estimators': 200}
2023-09-13 21:30:48.969935 -> 0.8667 (+/-0.5333) for {'max_depth': 30, 'n_estimators': 50}
2023-09-13 21:30:48.970986 -> 0.8667 (+/-0.5333) for {'max_depth': 30, 'n_estimators': 100}
2023-09-13 21:30:48.970986 -> 0.8667 (+/-0.5333) for {'max_depth': 30, 'n_estimators': 200}
2023-09-13 21:30:48.970986 -> BEST PARAMS for RandomForrest: {'max_depth': None, 'n_estimators': 50}

2023-09-13 21:30:48.994779 -> Train time for Random Forrest + {}: 0.1227347731590271 min
2023-09-13 21:39:09.450441 -> Data cleaning completed. Removed0records.
2023-09-13 21:39:09.450441 -> 44records remaining.
2023-09-13 21:39:09.451468 -> Reading data from CSV ...
2023-09-13 21:39:09.455440 -> Data cleaning completed. Removed0records.
2023-09-13 21:39:09.456394 -> 44records remaining.
2023-09-13 21:39:09.456394 -> SPLITTING DATA
2023-09-13 21:39:09.459428 -> ----- Done Splitting data -----
2023-09-13 21:39:09.467402 -> Train{'len': 30, 'features': 5, 'count': label
B    17
M    13
Name: count, dtype: int64}
2023-09-13 21:39:09.468366 -> Validation{'len': 9, 'features': 5, 'count': label
M    5
B    4
Name: count, dtype: int64}
2023-09-13 21:39:09.469397 -> Test{'len': 5, 'features': 5, 'count': label
M    3
B    2
Name: count, dtype: int64}
2023-09-13 21:39:09.469397 -> 

Training Classifiers ...
2023-09-13 21:39:09.470355 -> TRAINING: Random Forest
2023-09-13 21:39:17.095826 -> 0.8333 (+/-0.2981) for {'max_depth': None, 'n_estimators': 50}
2023-09-13 21:39:17.096813 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'n_estimators': 100}
2023-09-13 21:39:17.096813 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'n_estimators': 200}
2023-09-13 21:39:17.097807 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'n_estimators': 50}
2023-09-13 21:39:17.097807 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'n_estimators': 100}
2023-09-13 21:39:17.098809 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'n_estimators': 200}
2023-09-13 21:39:17.098809 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'n_estimators': 50}
2023-09-13 21:39:17.099789 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'n_estimators': 100}
2023-09-13 21:39:17.099789 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'n_estimators': 200}
2023-09-13 21:39:17.100787 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'n_estimators': 50}
2023-09-13 21:39:17.100787 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'n_estimators': 100}
2023-09-13 21:39:17.101782 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'n_estimators': 200}
2023-09-13 21:39:17.101886 -> BEST PARAMS for RandomForrest: {'max_depth': None, 'n_estimators': 100}

2023-09-13 21:39:17.136821 -> Train time for Random Forrest + {}: 0.12777443329493204 min
2023-09-14 07:54:44.402642 -> Data cleaning completed. Removed 0 records.
2023-09-14 07:54:44.403656 -> 44records remaining.
2023-09-14 07:54:44.403656 -> Reading data from CSV ...
2023-09-14 07:54:44.409623 -> Data cleaning completed. Removed 0 records.
2023-09-14 07:54:44.409623 -> 44records remaining.
2023-09-14 07:54:44.410620 -> SPLITTING DATA
2023-09-14 07:54:44.413684 -> ----- Done Splitting data -----
2023-09-14 07:54:44.423767 -> Train{'len': 30, 'features': 5, 'count': label
B    18
M    12
Name: count, dtype: int64}
2023-09-14 07:54:44.424764 -> Validation{'len': 9, 'features': 5, 'count': label
M    5
B    4
Name: count, dtype: int64}
2023-09-14 07:54:44.425761 -> Test{'len': 5, 'features': 5, 'count': label
M    4
B    1
Name: count, dtype: int64}
2023-09-14 07:54:44.426759 -> 

Training Classifiers ...
2023-09-14 07:54:44.426759 -> TRAINING: Decision Tree
2023-09-14 07:54:48.102356 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.103323 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.103323 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.104321 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.104321 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.105319 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.105319 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.106366 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.106366 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.106366 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.107423 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.107423 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.108373 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.108373 -> 0.7667 (+/-0.4) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.108373 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.109371 -> 0.7667 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.109371 -> 0.6333 (+/-0.3266) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.110368 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.110368 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.110368 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.111401 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.111401 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.112364 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.112364 -> 0.8667 (+/-0.3266) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.112364 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.113359 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.113359 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.114396 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.114396 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.115410 -> 0.7 (+/-0.4899) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.115410 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.116351 -> 0.6 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.116351 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.117403 -> 0.6667 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.117403 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.117403 -> 0.7 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.118450 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.118450 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.119419 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.119419 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.120416 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.120416 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.120416 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.121442 -> 0.8 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.121442 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.122411 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.122411 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.123408 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.123408 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.124406 -> 0.6 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.124406 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.124406 -> 0.7 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.125431 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.125431 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.126399 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.126399 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.127398 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.127398 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.128473 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.128473 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.128473 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.129490 -> 0.8 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.129490 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.130486 -> 0.7333 (+/-0.4522) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.130486 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.131495 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.131495 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.132502 -> 0.6667 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.132502 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.132502 -> 0.7333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.133500 -> 0.6667 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.133500 -> 0.8 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.134474 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.134474 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.135471 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.135471 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.136491 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.136491 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.136491 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.137488 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.137488 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.138464 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.138464 -> 0.7667 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.139462 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.139462 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.139462 -> 0.7667 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.140480 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.140480 -> 0.6333 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.141457 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.141457 -> 0.6667 (+/-0.0) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.142466 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.142466 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.143472 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.143472 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.143472 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.144569 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.144569 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.145625 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.145625 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.146618 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.146618 -> 0.7667 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.146618 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.147593 -> 0.6333 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.147593 -> 0.6333 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.148592 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.148592 -> 0.6667 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.149611 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.149611 -> 0.7333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.149611 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.150614 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.150614 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.151584 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.151584 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.152581 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.152581 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.152581 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.153600 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.153600 -> 0.7667 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.154577 -> 0.7667 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.154577 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.155664 -> 0.6333 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.155664 -> 0.6667 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.155664 -> 0.6333 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.156693 -> 0.6667 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.156693 -> 0.6333 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.157670 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.157670 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.157670 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.158678 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.158678 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.159665 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.159665 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.160652 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.160652 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.161649 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.161649 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.161649 -> 0.7667 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.162677 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.162677 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.163643 -> 0.7667 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.163643 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.164649 -> 0.7333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.164649 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.165637 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.165637 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.165637 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.166634 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.166634 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.167632 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.167632 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.168629 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.168629 -> 0.8667 (+/-0.3266) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.169626 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.169626 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.169626 -> 0.7667 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.170624 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.170624 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.171622 -> 0.6333 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.171622 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.172624 -> 0.6667 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.172624 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.173616 -> 0.6667 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.173616 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.174614 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.174614 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.175611 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.175611 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.176614 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.176614 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.177605 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.177605 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.177605 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.178602 -> 0.7667 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.178602 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.179714 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.179714 -> 0.7333 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.179714 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.180774 -> 0.6 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.180774 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.181739 -> 0.7333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.181739 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.182737 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.182737 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.183762 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.183762 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.183762 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.184760 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.184760 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.185727 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.185727 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.186726 -> 0.7667 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.186726 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.186726 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.187751 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.187751 -> 0.6333 (+/-0.3266) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.188719 -> 0.6667 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.188719 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.189718 -> 0.6667 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.189718 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.190804 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.190804 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.190804 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.191802 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.191802 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.192800 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.192800 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.192800 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.193826 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.193826 -> 0.7667 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.194796 -> 0.8 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.194796 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 07:54:48.195792 -> 0.5333 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 07:54:48.195792 -> 0.6333 (+/-0.3266) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 07:54:48.195792 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 07:54:48.196863 -> 0.6667 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 07:54:48.196863 -> 0.7667 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 07:54:48.197889 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}

2023-09-14 07:54:48.199901 -> Train time for Decision Tree + {}: 0.06288570562998454 min
2023-09-14 08:00:30.954298 -> Data cleaning completed. Removed 0 records.
2023-09-14 08:00:30.955278 -> 44records remaining.
2023-09-14 08:00:30.955278 -> Reading data from CSV ...
2023-09-14 08:00:30.960474 -> Data cleaning completed. Removed 0 records.
2023-09-14 08:00:30.960474 -> 44records remaining.
2023-09-14 08:00:30.960474 -> SPLITTING DATA
2023-09-14 08:00:30.964464 -> ----- Done Splitting data -----
2023-09-14 08:00:30.971749 -> Train{'len': 30, 'features': 5, 'count': label
B    18
M    12
Name: count, dtype: int64}
2023-09-14 08:00:30.972774 -> Validation{'len': 9, 'features': 5, 'count': label
M    6
B    3
Name: count, dtype: int64}
2023-09-14 08:00:30.973778 -> Test{'len': 5, 'features': 5, 'count': label
M    3
B    2
Name: count, dtype: int64}
2023-09-14 08:00:30.974769 -> 

Training Classifiers ...
2023-09-14 08:00:30.974769 -> TRAINING: Support Vector Machine
2023-09-14 08:00:31.474911 -> 0.6 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.475880 -> 0.6 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.475880 -> 0.6 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.475880 -> 0.6 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.476978 -> 0.6 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.476978 -> 0.6 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.477989 -> 0.6 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.477989 -> 0.6 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.478993 -> 0.6 (+/-0.1633) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.478993 -> 0.7333 (+/-0.3399) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.478993 -> 0.5667 (+/-0.1633) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.479985 -> 0.8333 (+/-0.2108) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.479985 -> 0.6 (+/-0.1633) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.480983 -> 0.8333 (+/-0.2108) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.480983 -> 0.5667 (+/-0.1633) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.482068 -> 0.8667 (+/-0.1333) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.482068 -> 0.6667 (+/-0.2108) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.483065 -> 0.7333 (+/-0.4) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.483065 -> 0.7 (+/-0.3266) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.484063 -> 0.8333 (+/-0.2108) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.484063 -> 0.6333 (+/-0.1333) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.485061 -> 0.8333 (+/-0.2108) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.485061 -> 0.5667 (+/-0.1633) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:00:31.486057 -> 0.8667 (+/-0.1333) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:00:31.486057 -> BEST PARAMS for Support Vector Machine: {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}

2023-09-14 08:00:31.489133 -> Train time for Support Vector Machine: 0.008572737375895182 min
2023-09-14 08:06:26.411308 -> Data cleaning completed. Removed 0 records.
2023-09-14 08:06:26.412307 -> 44records remaining.
2023-09-14 08:06:26.413298 -> Reading data from CSV ...
2023-09-14 08:06:26.423715 -> Data cleaning completed. Removed 0 records.
2023-09-14 08:06:26.425401 -> 44records remaining.
2023-09-14 08:06:26.426522 -> SPLITTING DATA
2023-09-14 08:06:26.434164 -> ----- Done Splitting data -----
2023-09-14 08:06:26.455950 -> Train{'len': 30, 'features': 5, 'count': label
B    18
M    12
Name: count, dtype: int64}
2023-09-14 08:06:26.458941 -> Validation{'len': 9, 'features': 5, 'count': label
M    6
B    3
Name: count, dtype: int64}
2023-09-14 08:06:26.460938 -> Test{'len': 5, 'features': 5, 'count': label
M    3
B    2
Name: count, dtype: int64}
2023-09-14 08:06:26.461935 -> 

Training Classifiers ...
2023-09-14 08:06:26.461935 -> TRAINING: Logistic Regression
2023-09-14 08:06:27.343434 -> 0.6 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:06:27.344429 -> 0.6 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:06:27.345559 -> 0.3667 (+/-0.2494) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:06:27.346762 -> 0.8 (+/-0.2494) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:06:27.347306 -> 0.6 (+/-0.1633) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:06:27.348308 -> 0.6 (+/-0.1633) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:06:27.348308 -> 0.4333 (+/-0.2667) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:06:27.350155 -> 0.7333 (+/-0.1633) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:06:27.351398 -> 0.4667 (+/-0.2494) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:06:27.351398 -> 0.8 (+/-0.2494) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:06:27.352434 -> 0.8 (+/-0.2494) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:06:27.354183 -> 0.7333 (+/-0.1633) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:06:27.354183 -> 0.7667 (+/-0.3399) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:06:27.355191 -> 0.7333 (+/-0.1633) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:06:27.356188 -> 0.7333 (+/-0.4) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:06:27.357251 -> 0.7333 (+/-0.1633) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:06:27.358285 -> 0.8667 (+/-0.2494) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:06:27.359399 -> 0.7333 (+/-0.1633) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:06:27.360445 -> 0.7667 (+/-0.4522) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:06:27.360445 -> 0.7333 (+/-0.1633) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:06:27.361442 -> 0.8667 (+/-0.2494) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:06:27.362565 -> 0.7333 (+/-0.1633) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:06:27.363564 -> 0.8667 (+/-0.2494) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:06:27.363564 -> 0.7333 (+/-0.1633) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:06:27.364561 -> BEST PARAMS for Logistic Regression: {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}

2023-09-14 08:06:27.368548 -> Train time for Logistic Regression: 0.015077038606007894 min
2023-09-14 08:13:25.941171 -> Data cleaning completed. Removed 0 records.
2023-09-14 08:13:25.942128 -> 44records remaining.
2023-09-14 08:13:25.943137 -> Reading data from CSV ...
2023-09-14 08:13:25.952613 -> Data cleaning completed. Removed 0 records.
2023-09-14 08:13:25.953658 -> 44records remaining.
2023-09-14 08:13:25.954614 -> SPLITTING DATA
2023-09-14 08:13:25.962336 -> ----- Done Splitting data -----
2023-09-14 08:13:25.981295 -> Train{'len': 30, 'features': 5, 'count': label
B    17
M    13
Name: count, dtype: int64}
2023-09-14 08:13:25.983285 -> Validation{'len': 9, 'features': 5, 'count': label
M    5
B    4
Name: count, dtype: int64}
2023-09-14 08:13:25.985093 -> Test{'len': 5, 'features': 5, 'count': label
M    3
B    2
Name: count, dtype: int64}
2023-09-14 08:13:25.985093 -> 

Training Classifiers ...
2023-09-14 08:13:25.986615 -> TRAINING: Naive Bayes
2023-09-14 08:13:26.158166 -> 0.8667 (+/-0.2494) for {'var_smoothing': 1e-09}
2023-09-14 08:13:26.159168 -> 0.8667 (+/-0.2494) for {'var_smoothing': 1e-08}
2023-09-14 08:13:26.160437 -> 0.8667 (+/-0.2494) for {'var_smoothing': 1e-07}
2023-09-14 08:13:26.161557 -> 0.8667 (+/-0.2494) for {'var_smoothing': 1e-06}
2023-09-14 08:13:26.162567 -> 0.9 (+/-0.1633) for {'var_smoothing': 1e-05}
2023-09-14 08:13:26.162567 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-05}

2023-09-14 08:13:26.166609 -> Train time for Naive Bayes: 0.002999897797902425 min
2023-09-14 08:44:29.038977 -> Data cleaning completed. Removed 0 records.
2023-09-14 08:44:29.040196 -> 44records remaining.
2023-09-14 08:44:29.040196 -> Reading data from CSV ...
2023-09-14 08:44:29.047145 -> Data cleaning completed. Removed 0 records.
2023-09-14 08:44:29.047145 -> 44records remaining.
2023-09-14 08:44:29.048144 -> SPLITTING DATA
2023-09-14 08:44:29.053701 -> ----- Done Splitting data -----
2023-09-14 08:44:29.066415 -> Train{'len': 30, 'features': 5, 'count': label
M    17
B    13
Name: count, dtype: int64}
2023-09-14 08:44:29.067413 -> Validation{'len': 9, 'features': 5, 'count': label
B    7
M    2
Name: count, dtype: int64}
2023-09-14 08:44:29.068415 -> Test{'len': 5, 'features': 5, 'count': label
B    3
M    2
Name: count, dtype: int64}
2023-09-14 08:44:29.069447 -> 

Training Classifiers ...
2023-09-14 08:44:29.069447 -> TRAINING: Random Forest
2023-09-14 08:47:54.103361 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.104447 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.104447 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.105474 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.105474 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.106574 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.106574 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.107575 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.107575 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.108573 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.108573 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.109637 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.109637 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.109637 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.110718 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.110718 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.111898 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.111898 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.112899 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.112899 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.113897 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.113897 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.114894 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.114999 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.114999 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.116070 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.116070 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.117069 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.117069 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.118068 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.118068 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.119071 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.119071 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.120064 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.120064 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.121024 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.121024 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.122057 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.122057 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.123054 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.123054 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.124069 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.124069 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.125054 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.125054 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.126121 -> 0.8333 (+/-0.2981) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.126121 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.127163 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.127163 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.128159 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.128159 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.129156 -> 0.8667 (+/-0.3266) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.129156 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.130154 -> 0.8667 (+/-0.3266) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.130154 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.131222 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.131222 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.131222 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.132296 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.132296 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.133512 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.134020 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.134020 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.135021 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.135021 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.136019 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.136019 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.137085 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.137085 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.137085 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.138158 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.138158 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.139124 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.139124 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.140136 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.140136 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.141148 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.141148 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.142114 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.142114 -> 0.8333 (+/-0.2981) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.143111 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.143111 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.144109 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.144109 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.145105 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.145105 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.146104 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.146104 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.147100 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.147100 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.147100 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.148295 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.148295 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.149295 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.149295 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.150294 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.150294 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.151288 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.151288 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.152286 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.152286 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.153286 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.153286 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.154354 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.154354 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.155374 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.155374 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.156372 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.156372 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.156372 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.157369 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.157369 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.158401 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.158401 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.159398 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.159398 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.160365 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.160365 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.161393 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.161393 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.162412 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.162412 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.163359 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.163359 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.164351 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.164351 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.165347 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.165347 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.166345 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.166345 -> 0.8333 (+/-0.2981) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.167343 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.167343 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.168340 -> 0.8667 (+/-0.3266) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.168340 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.169337 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.169337 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.170369 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.170437 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.170437 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.171511 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.171511 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.172528 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.172528 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.173511 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.173511 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.174470 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.174470 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.175465 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.175465 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.176464 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.176464 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.177461 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.177461 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.178460 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.178460 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.179456 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.179456 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.180488 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.180559 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.180559 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.181631 -> 0.8667 (+/-0.3266) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.181631 -> 0.8333 (+/-0.2108) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.182636 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.182636 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.183626 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.183626 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.184636 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.184636 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.185589 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.185589 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.186585 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.186585 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.187582 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.187582 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.188578 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.188578 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.189575 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.189575 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.190573 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.190573 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.191570 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.191570 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.192567 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.192567 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.193565 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.193565 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.193565 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.194597 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.194597 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.195594 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.195594 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.196561 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.196561 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.197825 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.197825 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.198841 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.198841 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.199842 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.199842 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.200839 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.200839 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.201837 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.201837 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.202834 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.202834 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.203833 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.203833 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.203833 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.204866 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.204866 -> 0.8667 (+/-0.3266) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.205861 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.205861 -> 0.8333 (+/-0.2981) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.206823 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.206823 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.207821 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.207821 -> 0.8333 (+/-0.2981) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.208854 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.208854 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.209858 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.209858 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.210815 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.210815 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.211815 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.211815 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.212825 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.212825 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.213812 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.213812 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.214861 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.214861 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.215860 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.215860 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.216857 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.216857 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.217885 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.217885 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.218852 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.218852 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.218852 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.220061 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.220061 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.221081 -> 0.8667 (+/-0.3266) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.221081 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.222206 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.222206 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.223243 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.223243 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.223243 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.224241 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.224241 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.225286 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.225286 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.226343 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.226343 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.227304 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.227304 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.228301 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.228301 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.229298 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.229298 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.230364 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.230364 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.230364 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.231441 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.231441 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.232525 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.232525 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.233563 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.233563 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.234561 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.234561 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.235590 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.235590 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.236634 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.236634 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.237627 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.237627 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.238624 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.238624 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.239624 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.239624 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.240618 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.240618 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.241615 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.241615 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.242615 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.242615 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.243610 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.243610 -> 0.8333 (+/-0.2981) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.244607 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.244607 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.245605 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.245605 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.246636 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.246800 -> 0.8 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.246800 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.247802 -> 0.8333 (+/-0.2981) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.247802 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.248927 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.248927 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.249928 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.249928 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.250925 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.250925 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.251923 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.251987 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.251987 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.253049 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.253049 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.254010 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.254010 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.255046 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.255046 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.256005 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.256005 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.257066 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 08:47:54.257066 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 08:47:54.258089 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 08:47:54.258089 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 08:47:54.259087 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 08:47:54.259087 -> 0.8667 (+/-0.3266) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 08:47:54.260119 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 08:47:54.260119 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 08:47:54.261081 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 08:47:54.261081 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}

2023-09-14 08:47:54.302040 -> Train time for Random Forrest: 3.4205432335535684 min
2023-09-14 08:47:54.303040 -> TRAINING: Decision Tree
2023-09-14 08:48:00.521152 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.522148 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.522148 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.523261 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.524294 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.524294 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.525271 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.526253 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.526253 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.527251 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.528247 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.528247 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.529244 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.530241 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.530241 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.531239 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.531239 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.532238 -> 0.8 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.533234 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.534230 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.534230 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.535227 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.536231 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.537229 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.537229 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.538224 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.538224 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.539556 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.540794 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.540794 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.541821 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.541821 -> 0.7333 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.542862 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.543822 -> 0.7667 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.544854 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.544854 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.545819 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.546815 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.547888 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.548894 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.548894 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.549891 -> 1.0 (+/-0.0) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.551053 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.552053 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.552563 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.553570 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.554569 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.555563 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.556559 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.557557 -> 0.7667 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.557557 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.558551 -> 0.8333 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.559549 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.559549 -> 0.6333 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.560550 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.561546 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.561546 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.562630 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.563657 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.563657 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.564657 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.565697 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.565697 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.566700 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.566700 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.567697 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.568694 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.568694 -> 0.7 (+/-0.3266) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.569693 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.570729 -> 0.7333 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.571784 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.571784 -> 0.8 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.572954 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.572954 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.573990 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.574986 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.574986 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.575948 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.575948 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.576952 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.577943 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.577943 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.579046 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.579046 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.580046 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.581042 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.581042 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.582040 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.583037 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.583037 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.584253 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.584253 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.585249 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.586441 -> 1.0 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.586951 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.587956 -> 1.0 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.587956 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.589155 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.589155 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.590254 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.590254 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.591279 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.591789 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.592791 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.592791 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.593792 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.594788 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.594788 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.595876 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.595876 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.596915 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.596915 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.597913 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.598908 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.598908 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.599903 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.601037 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.601037 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.602038 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.603039 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.603039 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.604422 -> 0.6667 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.604422 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.605562 -> 0.7 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.605562 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.606564 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.607561 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.607561 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.608559 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.609558 -> 1.0 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.609558 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.609558 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.610968 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.612054 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.612054 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.613099 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.613099 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.614143 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.615092 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.615092 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.616090 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.617640 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.617640 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.618666 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.618666 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.619824 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.621101 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.621607 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.621607 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.622609 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.623792 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.623936 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.624961 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.625469 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.625469 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.626474 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.627471 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.627471 -> 0.7 (+/-0.3266) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.628469 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.628469 -> 0.7333 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.629466 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.630463 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.630463 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.631461 -> 0.9333 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.631461 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.632458 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.633455 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.634455 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.634455 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.635768 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.636557 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.636557 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.637563 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.638558 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.638558 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.639559 -> 0.6333 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.640552 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.641552 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.641552 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.642549 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.643547 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.643547 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.644544 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.645537 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.645537 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.646544 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.647532 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.647532 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.648605 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.648605 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.649655 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.650649 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.651651 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.652647 -> 0.7667 (+/-0.4) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.652647 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.653811 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.654809 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.654809 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.655807 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.656842 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.656842 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.657803 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.658800 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.658800 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.659952 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.660952 -> 0.9 (+/-0.4) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.660952 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.661949 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.661949 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.662947 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.663942 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 08:48:00.663942 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 08:48:00.664942 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 08:48:00.664942 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 08:48:00.666345 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 08:48:00.666345 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 08:48:00.667880 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}

2023-09-14 08:48:00.670887 -> Train time for Decision Tree: 0.10611420472462972 min
2023-09-14 08:48:00.671878 -> TRAINING: Support Vector Machine
2023-09-14 08:48:01.636716 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.636775 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.637801 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.638310 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.639315 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.639315 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.640313 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.641310 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.641310 -> 0.4333 (+/-0.3399) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.642459 -> 0.5667 (+/-0.1633) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.643461 -> 0.5667 (+/-0.1633) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.643461 -> 0.8667 (+/-0.2494) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.644457 -> 0.3667 (+/-0.1333) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.644457 -> 0.8667 (+/-0.2494) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.645455 -> 0.5333 (+/-0.2494) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.646452 -> 0.9 (+/-0.1633) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.646452 -> 0.3 (+/-0.2494) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.647449 -> 0.6667 (+/-0.2981) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.648448 -> 0.3333 (+/-0.2108) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.648448 -> 0.9 (+/-0.1633) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.649444 -> 0.2333 (+/-0.2667) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.650440 -> 0.8667 (+/-0.2494) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.650440 -> 0.4 (+/-0.1633) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 08:48:01.651439 -> 0.9667 (+/-0.1333) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 08:48:01.652433 -> BEST PARAMS for Support Vector Machine: {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}

2023-09-14 08:48:01.656705 -> Train time for Support Vector Machine: 0.01639707883199056 min
2023-09-14 08:48:01.656705 -> TRAINING: Logistic Regression
2023-09-14 08:48:02.554380 -> 0.4333 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:48:02.555333 -> 0.5667 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:48:02.555333 -> 0.5667 (+/-0.1633) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:48:02.556461 -> 0.5667 (+/-0.1633) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:48:02.556966 -> 0.4333 (+/-0.1633) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:48:02.557968 -> 0.5 (+/-0.2108) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:48:02.557968 -> 0.5667 (+/-0.1633) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:48:02.558966 -> 0.5333 (+/-0.2494) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:48:02.558966 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:48:02.559963 -> 0.5333 (+/-0.2494) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:48:02.560960 -> 0.5 (+/-0.2981) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:48:02.560960 -> 0.5333 (+/-0.2494) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:48:02.561965 -> 0.4333 (+/-0.1633) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:48:02.561965 -> 0.5333 (+/-0.2494) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:48:02.563136 -> 0.5667 (+/-0.3399) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:48:02.563136 -> 0.5333 (+/-0.2494) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:48:02.564290 -> 0.9 (+/-0.1633) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:48:02.564290 -> 0.5333 (+/-0.2494) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:48:02.565326 -> 0.8667 (+/-0.2494) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:48:02.565326 -> 0.5333 (+/-0.2494) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:48:02.566287 -> 0.9 (+/-0.1633) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 08:48:02.567320 -> 0.5333 (+/-0.2494) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 08:48:02.567320 -> 0.9 (+/-0.1633) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 08:48:02.568280 -> 0.5333 (+/-0.2494) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 08:48:02.568280 -> BEST PARAMS for Logistic Regression: {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}

2023-09-14 08:48:02.571317 -> Train time for Logistic Regression: 0.015243526299794514 min
2023-09-14 08:48:02.572271 -> TRAINING: Naive Bayes
2023-09-14 08:48:02.793988 -> 1.0 (+/-0.0) for {'var_smoothing': 1e-09}
2023-09-14 08:48:02.795110 -> 1.0 (+/-0.0) for {'var_smoothing': 1e-08}
2023-09-14 08:48:02.795616 -> 1.0 (+/-0.0) for {'var_smoothing': 1e-07}
2023-09-14 08:48:02.795616 -> 1.0 (+/-0.0) for {'var_smoothing': 1e-06}
2023-09-14 08:48:02.796784 -> 0.9667 (+/-0.1333) for {'var_smoothing': 1e-05}
2023-09-14 08:48:02.797892 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-09}

2023-09-14 08:48:02.801609 -> Train time for Naive Bayes: 0.0038046995798746747 min
2023-09-14 08:48:02.801609 -> 
PREDICTING ...

2023-09-14 08:48:02.906870 -> 

RF -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.5 / F1-Score: 0.6667 / Accuracy: 0.7778  / AUC: 0.8929
2023-09-14 08:48:02.907969 -> 1.0 & 0.0 & 0.5 & 0.6667 & 0.7778 & 0.8929
2023-09-14 08:48:02.929465 -> 

LR -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.6667 / F1-Score: 0.8 / Accuracy: 0.8889  / AUC: 1.0
2023-09-14 08:48:02.929465 -> 1.0 & 0.0 & 0.6667 & 0.8 & 0.8889 & 1.0
2023-09-14 08:48:02.956483 -> 

DT -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.6667 / F1-Score: 0.8 / Accuracy: 0.8889  / AUC: 0.9286
2023-09-14 08:48:02.957486 -> 1.0 & 0.0 & 0.6667 & 0.8 & 0.8889 & 0.9286
2023-09-14 08:48:02.981206 -> 

NB -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.5 / F1-Score: 0.6667 / Accuracy: 0.7778  / AUC: 0.8571
2023-09-14 08:48:02.982342 -> 1.0 & 0.0 & 0.5 & 0.6667 & 0.7778 & 0.8571
2023-09-14 08:48:03.011778 -> 

SVM -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.5 / F1-Score: 0.6667 / Accuracy: 0.7778  / AUC: 1.0
2023-09-14 08:48:03.012782 -> 1.0 & 0.0 & 0.5 & 0.6667 & 0.7778 & 1.0
2023-09-14 10:54:34.141845 -> Data cleaning completed. Removed 0 records.
2023-09-14 10:54:34.142806 -> 44records remaining.
2023-09-14 10:54:34.142806 -> Reading data from CSV ...
2023-09-14 10:54:34.151495 -> Data cleaning completed. Removed 0 records.
2023-09-14 10:54:34.151495 -> 44records remaining.
2023-09-14 10:54:34.152459 -> SPLITTING DATA
2023-09-14 10:54:34.156482 -> ----- Done Splitting data -----
2023-09-14 10:54:34.173242 -> Train{'len': 30, 'features': 5, 'count': label
B    15
M    15
Name: count, dtype: int64}
2023-09-14 10:54:34.175202 -> Validation{'len': 9, 'features': 5, 'count': label
M    5
B    4
Name: count, dtype: int64}
2023-09-14 10:54:34.176233 -> Test{'len': 5, 'features': 5, 'count': label
B    4
M    1
Name: count, dtype: int64}
2023-09-14 10:54:34.176233 -> 

Training Classifiers ...
2023-09-14 10:54:34.177208 -> TRAINING: Random Forest
2023-09-14 10:58:56.335265 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.335265 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.336489 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.336489 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.337549 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.337549 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.338551 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.339548 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.340546 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.340546 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.341543 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.342716 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.343223 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.343223 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.344224 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.344224 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.345224 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.346221 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.346221 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.347218 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.347218 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.348216 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.348216 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.349503 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.350528 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.350528 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.351625 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.352128 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.352128 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.353214 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.353214 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.354214 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.354214 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.355425 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.355425 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.356768 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.356768 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.356768 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.358137 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.359215 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.359215 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.360781 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.360781 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.360781 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.362199 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.362199 -> 0.8333 (+/-0.2108) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.363414 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.363414 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.365215 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.365215 -> 0.8333 (+/-0.0) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.365215 -> 0.8333 (+/-0.2108) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.366507 -> 0.8333 (+/-0.2108) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.366507 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.367743 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.367743 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.368831 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.368831 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.370305 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.370305 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.371339 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.371885 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.371885 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.373024 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.373565 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.373565 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.374856 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.375404 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.375404 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.376588 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.377610 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.377610 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.377610 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.379049 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.380127 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.380127 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.380127 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.381609 -> 0.8 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.381609 -> 0.8333 (+/-0.2108) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.382633 -> 0.8333 (+/-0.2108) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.382633 -> 0.8333 (+/-0.2108) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.383640 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.383640 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.384852 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.384852 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.385883 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.385883 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.387062 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.387062 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.388464 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.388464 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.389510 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.389510 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.389510 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.390845 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.390845 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.391977 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.391977 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.393113 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.394129 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.394129 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.395356 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.395356 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.396409 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.397435 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.397435 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.397435 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.398839 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.398839 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.400139 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.400139 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.401280 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.401280 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.402290 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.402290 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.403520 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.403520 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.403520 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.404930 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.404930 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.405928 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.405928 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.405928 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.407385 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.407935 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.407935 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.409029 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.409029 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.410113 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.410113 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.410113 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.411619 -> 0.8333 (+/-0.2108) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.411619 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.412789 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.412789 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.412789 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.414126 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.414665 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.415263 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.415263 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.416281 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.416281 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.417284 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.417284 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.417284 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.418747 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.418747 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.419834 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.420337 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.420337 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.421423 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.421928 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.421928 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.422929 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.423927 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.423927 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.424924 -> 0.8333 (+/-0.2108) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.424924 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.425921 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.425921 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.426920 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.426920 -> 0.8333 (+/-0.2108) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.427916 -> 0.8333 (+/-0.2108) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.427916 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.429283 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.429283 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.430553 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.430553 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.431554 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.431554 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.431554 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.433005 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.433005 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.434040 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.434545 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.434545 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.435777 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.435777 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.435777 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.437064 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.437064 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.438126 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.438632 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.438632 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.438632 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.440110 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.440110 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.441680 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.441680 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.441680 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.443075 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.443075 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.444403 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.444910 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.444910 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.444910 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.446390 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.446390 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.447612 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.448120 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.449124 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.449124 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.450117 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.450117 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.451311 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.452361 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.452361 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.452361 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.453868 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.453868 -> 0.8 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.454943 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.454943 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.456081 -> 0.8333 (+/-0.2108) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.457084 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.457084 -> 0.8333 (+/-0.2108) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.457084 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.458503 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.459007 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.459007 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.459007 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.460521 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.461597 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.461597 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.461597 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.462791 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.463294 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.463294 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.464679 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.464679 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.465735 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.466740 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.466740 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.467765 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.468767 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.468767 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.468767 -> 0.8333 (+/-0.2108) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.470578 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.470578 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.471594 -> 0.8333 (+/-0.2108) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.472135 -> 0.8333 (+/-0.2108) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.473154 -> 0.8333 (+/-0.2108) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.473154 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.474567 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.475581 -> 0.8333 (+/-0.2108) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.475662 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.476686 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.477769 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.477769 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.478808 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.480192 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.480192 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.481737 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.481737 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.483243 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.483243 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.484668 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.484668 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.484668 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.486087 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.486629 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.487862 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.487862 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.487862 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.489174 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.489715 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.489715 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.490812 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.490812 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.491813 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.492810 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.492810 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.493881 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.493881 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.495115 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.495115 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.496147 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.496147 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.497234 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.497739 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.497739 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.497739 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.499419 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.499419 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.500439 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.500439 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.500439 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.501873 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.501873 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.501873 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.503364 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.503904 -> 0.8333 (+/-0.2108) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.503904 -> 0.8333 (+/-0.2108) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.505043 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.505043 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.506103 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.507106 -> 0.8333 (+/-0.2108) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.507106 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.508102 -> 0.8 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.508102 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.509100 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.509100 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.510097 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.510097 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.511366 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.511872 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.511872 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.512883 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.513389 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.513389 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.514390 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.514390 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.515419 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.515419 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.515419 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.516906 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.516906 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.517993 -> 0.8333 (+/-0.2108) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-14 10:58:56.518499 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-14 10:58:56.518499 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-14 10:58:56.518499 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-14 10:58:56.519952 -> 0.8333 (+/-0.2108) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-14 10:58:56.520955 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-14 10:58:56.521044 -> 0.8333 (+/-0.2108) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-14 10:58:56.521044 -> 0.8333 (+/-0.2108) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-14 10:58:56.522102 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-14 10:58:56.522102 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}

2023-09-14 10:58:56.589843 -> Train time for Random Forrest: 4.373527292410532 min
2023-09-14 10:58:56.590840 -> TRAINING: Decision Tree
2023-09-14 10:59:02.208549 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.209547 -> 0.8667 (+/-0.3266) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.209547 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.210508 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.210508 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.211588 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.211588 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.212608 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.212608 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.213636 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.213636 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.214637 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.215635 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.215635 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.216693 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.216693 -> 0.7 (+/-0.3887) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.217730 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.217730 -> 0.7333 (+/-0.4) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.218728 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.218728 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.219725 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.219725 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.219725 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.221176 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.221176 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.222244 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.222244 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.223259 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.223259 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.224261 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.224261 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.225276 -> 0.6333 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.225276 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.226444 -> 0.8 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.226444 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.226444 -> 0.7333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.227958 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.227958 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.228975 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.228975 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.230023 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.231026 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.231026 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.232024 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.233088 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.233088 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.234135 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.234135 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.235133 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.236128 -> 0.7333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.236128 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.237275 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.237275 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.238391 -> 0.6333 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.238485 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.239505 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.240507 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.241507 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.241507 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.242696 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.242696 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.244305 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.245356 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.245356 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.246727 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.246727 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.247769 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.247769 -> 0.6667 (+/-0.4216) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.248770 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.248770 -> 0.7333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.249767 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.249767 -> 0.7333 (+/-0.4) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.250765 -> 0.9333 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.250765 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.251762 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.251762 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.252759 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.253758 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.253758 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.254955 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.254955 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.255978 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.255978 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.256983 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.256983 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.258154 -> 0.7 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.258154 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.259280 -> 0.8 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.259280 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.260444 -> 0.6667 (+/-0.4216) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.260444 -> 0.9333 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.261520 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.261520 -> 0.9333 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.262609 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.262609 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.263782 -> 0.9333 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.264291 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.264291 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.265519 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.265519 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.266598 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.267562 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.267562 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.268593 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.269556 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.270616 -> 0.7667 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.270616 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.271666 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.271666 -> 0.9333 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.272696 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.272696 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.273692 -> 1.0 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.274656 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.274656 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.275653 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.275653 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.276650 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.276650 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.277650 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.277650 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.278645 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.278645 -> 0.8 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.279643 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.279643 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.280638 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.280638 -> 0.7333 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.281636 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.281636 -> 1.0 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.282636 -> 0.9333 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.282636 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.283664 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.283664 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.284629 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.284629 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.285644 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.285644 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.286626 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.286626 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.287699 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.287699 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.288754 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.288754 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.289758 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.289758 -> 0.6667 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.290752 -> 0.9333 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.290752 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.291753 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.291753 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.292748 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.292748 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.293744 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.293744 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.294744 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.294744 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.295776 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.296774 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.296774 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.297735 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.297735 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.298831 -> 0.7 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.298831 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.300580 -> 0.6667 (+/-0.4216) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.300580 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.301581 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.301581 -> 0.9333 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.302579 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.302579 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.303576 -> 0.9333 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.303576 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.304573 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.304573 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.305571 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.305571 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.306571 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.306571 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.307565 -> 0.6333 (+/-0.3266) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.308563 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.308563 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.309560 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.309560 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.310629 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.310629 -> 1.0 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.310629 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.311969 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.312497 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.312497 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.313640 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.313640 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.314965 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.314965 -> 0.9333 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.315969 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.315969 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.316966 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.316966 -> 0.7667 (+/-0.4522) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.317963 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.317963 -> 0.7 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.318961 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.318961 -> 0.7 (+/-0.3266) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.319958 -> 0.9333 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.319958 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.321104 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.322126 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.322126 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.323555 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.323555 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.324556 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.324556 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.325553 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.325553 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.326627 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.326627 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-14 10:59:02.327674 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-14 10:59:02.327674 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-14 10:59:02.328803 -> 0.7 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-14 10:59:02.329344 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-14 10:59:02.329885 -> 0.7 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-14 10:59:02.329885 -> BEST PARAMS for Decision Tree: {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}

2023-09-14 10:59:02.332793 -> Train time for Decision Tree: 0.09569922288258871 min
2023-09-14 10:59:02.332793 -> TRAINING: Support Vector Machine
2023-09-14 10:59:03.025446 -> 0.5 (+/-0.3651) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.025446 -> 0.6667 (+/-0.2981) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.026444 -> 0.5333 (+/-0.2494) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.026444 -> 0.8667 (+/-0.2494) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.027588 -> 0.4667 (+/-0.1333) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.027588 -> 0.8333 (+/-0.2108) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.028671 -> 0.2667 (+/-0.2667) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.028671 -> 0.8667 (+/-0.2494) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.029704 -> 0.5 (+/-0.3651) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.029704 -> 0.6667 (+/-0.2981) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.030665 -> 0.5333 (+/-0.2494) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.030665 -> 0.8667 (+/-0.2494) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.031871 -> 0.4667 (+/-0.1333) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.032374 -> 0.8667 (+/-0.2494) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.032374 -> 0.2667 (+/-0.2667) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.033392 -> 0.8667 (+/-0.2494) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.033392 -> 0.4667 (+/-0.4899) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.034478 -> 0.6667 (+/-0.2981) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.034478 -> 0.4667 (+/-0.1333) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.035495 -> 0.8667 (+/-0.2494) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.035495 -> 0.4 (+/-0.2667) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.036495 -> 0.8333 (+/-0.2108) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.036495 -> 0.2667 (+/-0.2667) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-14 10:59:03.037493 -> 0.9333 (+/-0.2667) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-14 10:59:03.037493 -> BEST PARAMS for Support Vector Machine: {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}

2023-09-14 10:59:03.040485 -> Train time for Support Vector Machine: 0.011794857184092204 min
2023-09-14 10:59:03.041482 -> TRAINING: Logistic Regression
2023-09-14 10:59:03.723639 -> 0.5 (+/-0.0) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 10:59:03.723639 -> 0.5 (+/-0.0) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 10:59:03.724973 -> 0.5 (+/-0.0) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 10:59:03.724973 -> 0.5 (+/-0.0) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 10:59:03.726289 -> 0.5 (+/-0.0) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 10:59:03.726289 -> 0.5 (+/-0.0) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 10:59:03.727305 -> 0.5 (+/-0.0) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 10:59:03.727305 -> 0.5 (+/-0.0) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 10:59:03.728410 -> 0.5 (+/-0.0) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 10:59:03.728410 -> 0.5333 (+/-0.1333) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 10:59:03.729410 -> 0.4667 (+/-0.1333) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 10:59:03.729410 -> 0.5333 (+/-0.1333) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 10:59:03.730408 -> 0.6667 (+/-0.2108) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 10:59:03.730408 -> 0.5333 (+/-0.1333) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 10:59:03.731475 -> 0.7667 (+/-0.2667) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 10:59:03.731475 -> 0.5333 (+/-0.1333) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 10:59:03.732514 -> 0.9 (+/-0.2667) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 10:59:03.733507 -> 0.5333 (+/-0.1333) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 10:59:03.733507 -> 0.8333 (+/-0.2981) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 10:59:03.734504 -> 0.5333 (+/-0.1333) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 10:59:03.734504 -> 0.8667 (+/-0.2494) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-14 10:59:03.735502 -> 0.5333 (+/-0.1333) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-14 10:59:03.736584 -> 0.9333 (+/-0.1633) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-14 10:59:03.736584 -> 0.5333 (+/-0.1333) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-14 10:59:03.737615 -> BEST PARAMS for Logistic Regression: {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}

2023-09-14 10:59:03.740098 -> Train time for Logistic Regression: 0.011643596490224202 min
2023-09-14 10:59:03.741358 -> TRAINING: Naive Bayes
2023-09-14 10:59:03.869013 -> 0.9667 (+/-0.1333) for {'var_smoothing': 1e-09}
2023-09-14 10:59:03.870234 -> 0.9667 (+/-0.1333) for {'var_smoothing': 1e-08}
2023-09-14 10:59:03.871235 -> 0.9667 (+/-0.1333) for {'var_smoothing': 1e-07}
2023-09-14 10:59:03.871235 -> 0.9667 (+/-0.1333) for {'var_smoothing': 1e-06}
2023-09-14 10:59:03.872233 -> 0.9 (+/-0.2667) for {'var_smoothing': 1e-05}
2023-09-14 10:59:03.872233 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-09}

2023-09-14 10:59:03.874757 -> Train time for Naive Bayes: 0.0022233088811238607 min
2023-09-14 10:59:03.874757 -> 
PREDICTING ...

2023-09-14 10:59:03.999230 -> 

RF -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.8333 / F1-Score: 0.9091 / Accuracy: 0.8889  / AUC: 0.85
2023-09-14 10:59:03.999326 -> 1.0 & 0.0 & 0.8333 & 0.9091 & 0.8889 & 0.85
2023-09-14 10:59:04.019989 -> 

LR -- Recall: 0.8 / Fall-out: 0.5 / Precision: 0.8 / F1-Score: 0.8 / Accuracy: 0.7778  / AUC: 0.775
2023-09-14 10:59:04.021401 -> 0.8 & 0.5 & 0.8 & 0.8 & 0.7778 & 0.775
2023-09-14 10:59:04.041481 -> 

DT -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.8333 / F1-Score: 0.9091 / Accuracy: 0.8889  / AUC: 0.875
2023-09-14 10:59:04.042440 -> 1.0 & 0.0 & 0.8333 & 0.9091 & 0.8889 & 0.875
2023-09-14 10:59:04.063015 -> 

NB -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.8333 / F1-Score: 0.9091 / Accuracy: 0.8889  / AUC: 0.875
2023-09-14 10:59:04.063015 -> 1.0 & 0.0 & 0.8333 & 0.9091 & 0.8889 & 0.875
2023-09-14 10:59:04.084266 -> 

SVM -- Recall: 0.8 / Fall-out: 0.5 / Precision: 0.8 / F1-Score: 0.8 / Accuracy: 0.7778  / AUC: 0.875
2023-09-14 10:59:04.084266 -> 0.8 & 0.5 & 0.8 & 0.8 & 0.7778 & 0.875
2023-09-19 12:25:35.523676 -> Reading data from CSV ...
2023-09-19 12:25:35.538741 -> Data cleaning completed. Removed 0 records.
2023-09-19 12:25:35.539738 -> 119records remaining.
2023-09-19 12:25:35.539738 -> SPLITTING DATA
2023-09-19 12:25:35.543727 -> ----- Done Splitting data -----
2023-09-19 12:25:35.556200 -> Train{'len': 83, 'features': 5, 'count': label
M    82
B     1
Name: count, dtype: int64}
2023-09-19 12:25:35.557198 -> Validation{'len': 24, 'features': 5, 'count': label
M    24
Name: count, dtype: int64}
2023-09-19 12:25:35.558196 -> Test{'len': 12, 'features': 5, 'count': label
M    12
Name: count, dtype: int64}
2023-09-19 12:25:35.559192 -> 

Training Classifiers ...
2023-09-19 12:25:35.559192 -> TRAINING: Random Forest
2023-09-19 12:28:00.937903 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.937903 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.953527 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.953527 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.953527 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.969148 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> 0.9882 (+/-0.0471) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:00.984782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.000724 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.016353 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> 0.9882 (+/-0.0471) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.032291 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.032291 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.032291 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.048257 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> 0.9882 (+/-0.0471) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.063866 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.079487 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 12:28:01.094792 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 12:28:01.110734 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 12:28:01.110734 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 12:28:01.110734 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 12:28:01.110734 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 12:28:01.110734 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 12:28:01.110734 -> 0.9882 (+/-0.0471) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 12:28:01.110734 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}

2023-09-19 12:28:01.131094 -> Train time for Random Forrest: 2.426198363304138 min
2023-09-19 12:28:01.131094 -> TRAINING: Decision Tree
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.249923 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.265546 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.281254 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.296863 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.312446 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.328032 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.339539 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.339539 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 12:28:05.344343 -> 0.9882 (+/-0.0471) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 12:28:05.359988 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}

2023-09-19 12:28:05.359988 -> Train time for Decision Tree: 0.07048156261444091 min
2023-09-19 12:28:05.359988 -> TRAINING: Support Vector Machine
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 12:28:05.862163 -> nan (+/-nan) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 12:28:05.862163 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}

2023-09-19 12:28:05.877778 -> Train time for Support Vector Machine: 0.008629834651947022 min
2023-09-19 12:28:05.877778 -> TRAINING: Logistic Regression
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 12:28:06.301519 -> nan (+/-nan) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 12:28:06.317101 -> nan (+/-nan) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 12:28:06.317101 -> nan (+/-nan) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 12:28:06.317101 -> nan (+/-nan) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 12:28:06.317101 -> nan (+/-nan) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 12:28:06.317101 -> nan (+/-nan) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 12:28:06.317101 -> BEST PARAMS for Logistic Regression: {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}

2023-09-19 12:28:06.317101 -> Train time for Logistic Regression: 0.007322057088216146 min
2023-09-19 12:28:06.317101 -> TRAINING: Naive Bayes
2023-09-19 12:28:06.411283 -> 0.1882 (+/-0.7529) for {'var_smoothing': 1e-09}
2023-09-19 12:28:06.411283 -> 0.1882 (+/-0.7529) for {'var_smoothing': 1e-08}
2023-09-19 12:28:06.411283 -> 0.1882 (+/-0.7529) for {'var_smoothing': 1e-07}
2023-09-19 12:28:06.411283 -> 0.1882 (+/-0.7529) for {'var_smoothing': 1e-06}
2023-09-19 12:28:06.411283 -> 0.1882 (+/-0.7529) for {'var_smoothing': 1e-05}
2023-09-19 12:28:06.411283 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-09}

2023-09-19 12:28:06.411283 -> Train time for Naive Bayes: 0.0015697002410888672 min
2023-09-19 12:28:06.411283 -> 
PREDICTING ...

2023-09-19 15:14:24.031497 -> Reading data from CSV ...
2023-09-19 15:14:24.050568 -> Data cleaning completed. Removed 0 records.
2023-09-19 15:14:24.051565 -> 1831records remaining.
2023-09-19 15:14:24.051565 -> SPLITTING DATA
2023-09-19 15:14:24.056552 -> ----- Done Splitting data -----
2023-09-19 15:14:24.071397 -> Train{'len': 1281, 'features': 5, 'count': label
M    1185
B      96
Name: count, dtype: int64}
2023-09-19 15:14:24.072402 -> Validation{'len': 366, 'features': 5, 'count': label
M    339
B     27
Name: count, dtype: int64}
2023-09-19 15:14:24.073411 -> Test{'len': 184, 'features': 5, 'count': label
M    170
B     14
Name: count, dtype: int64}
2023-09-19 15:14:24.074397 -> 

Training Classifiers ...
2023-09-19 15:14:24.074397 -> TRAINING: Random Forest
2023-09-19 15:17:19.432768 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.433779 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.433779 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.434781 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.434781 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.434781 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.435789 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.435789 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.436780 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.436780 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.436780 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.437771 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.437771 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.438774 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.438774 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.438774 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.439767 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.439767 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.439767 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.440764 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.440764 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.441761 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.441761 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.441761 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.442758 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.442758 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.443756 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.443756 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.443756 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.444762 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.444762 -> 0.9953 (+/-0.0077) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.445753 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.445753 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.449073 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.449073 -> 0.9922 (+/-0.0131) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.450075 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.450075 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.451073 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.451073 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.452070 -> 0.9945 (+/-0.0106) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.452070 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.452070 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.453067 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.453067 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.453067 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.454065 -> 0.9945 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.454065 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.455062 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.455062 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.456059 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.456059 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.456059 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.457056 -> 0.9922 (+/-0.0164) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.457056 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.458057 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.458057 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.458057 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.459051 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.459051 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.460049 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.460049 -> 0.9922 (+/-0.0131) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.460049 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.461046 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.461046 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.465201 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.465201 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.466202 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.466202 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.467199 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.467199 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.467199 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.468229 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.468229 -> 0.9945 (+/-0.0117) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.469205 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.469205 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.470192 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.470192 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.470192 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.471192 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.471192 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.472189 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.472189 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.472189 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.473191 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.473191 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.474184 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.474184 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.474184 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.475182 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.475182 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.476176 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.476176 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.477172 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.477172 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.477172 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.478190 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.481920 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.482915 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.483944 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.484925 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.485907 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.486903 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.487903 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.488927 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.488927 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.489924 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.490894 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.490894 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.491893 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.492914 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.492914 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.493886 -> 0.9953 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.493886 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.494909 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.495905 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.495905 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.496903 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.496903 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.497875 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.497875 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.498872 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.498872 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.499869 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.499869 -> 0.9945 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.499869 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.500892 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.500892 -> 0.9945 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.501863 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.501863 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.502861 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.502861 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.502861 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.503884 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.503884 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.504867 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.504867 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.505853 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.505853 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.505853 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.506851 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.506851 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.506851 -> 0.9938 (+/-0.0145) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.507847 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.507847 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.508845 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.508845 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.509842 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.509842 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.512533 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.513549 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.513549 -> 0.9945 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.514546 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.514546 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.514546 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.515555 -> 0.9945 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.515555 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.516543 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.516543 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.516543 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.517538 -> 0.993 (+/-0.0151) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.517538 -> 0.9945 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.518538 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.518538 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.519533 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.519533 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.519533 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.520538 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.520538 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.521537 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.521537 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.521537 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.522561 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.522561 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.523529 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.523529 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.524519 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.524519 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.525517 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.525517 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.525517 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.528541 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.528541 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.529557 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.529557 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.530555 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.530555 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.531552 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.531552 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.531552 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.532591 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.532591 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.533546 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.533546 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.534544 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.534544 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.534544 -> 0.9922 (+/-0.014) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.535569 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.535569 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.536540 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.536540 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.536540 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.537536 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.537536 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.538532 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.538532 -> 0.9922 (+/-0.0164) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.538532 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.539530 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.539530 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.540531 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.540531 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.541525 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.541525 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.544597 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.544597 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.545600 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.545600 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.546599 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.546599 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.546599 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.547595 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.547595 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.547595 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.548631 -> 0.9945 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.548631 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.549591 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.549591 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.549591 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.550627 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.550627 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.551586 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.551586 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.551586 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.552620 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.552620 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.553579 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.553579 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.553579 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.554615 -> 0.9922 (+/-0.0164) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.554615 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.555590 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.555590 -> 0.993 (+/-0.0151) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.556572 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.556572 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.559953 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.560991 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.562982 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.563981 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.564975 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.564975 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.565978 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.566944 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.567956 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.567956 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.568935 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.568935 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.568935 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.569932 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.569932 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.570930 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.570930 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.570930 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.571927 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.571927 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.572925 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.572925 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.573921 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.573921 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.573921 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.574919 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.574919 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.575916 -> 0.9953 (+/-0.0077) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.575916 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.575916 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.576913 -> 0.9938 (+/-0.0094) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.576913 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.577911 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.577911 -> 0.9922 (+/-0.0131) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.577911 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.578908 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.578908 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.579906 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.579906 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.579906 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.580903 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.580903 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.581900 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.581900 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.581900 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.582897 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.582897 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.583895 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.583895 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.584895 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.584895 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.585889 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.585889 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.585889 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.586886 -> 0.9938 (+/-0.0094) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.586886 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.590945 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.592981 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.593978 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.594925 -> 0.9938 (+/-0.0094) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.595963 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.595963 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.596960 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.597960 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.598912 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.599909 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.599909 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.600945 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.601906 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.601906 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.602937 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.603900 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.603900 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 15:17:19.604932 -> 0.9945 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 15:17:19.604932 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 15:17:19.605931 -> 0.9945 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 15:17:19.606891 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 15:17:19.606891 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 15:17:19.607926 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 15:17:19.607926 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 15:17:19.608886 -> 0.9945 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 15:17:19.608886 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}

2023-09-19 15:17:19.632890 -> Train time for Random Forrest: 2.925974893569946 min
2023-09-19 15:17:19.633891 -> TRAINING: Decision Tree
2023-09-19 15:17:24.502900 -> 0.9906 (+/-0.008) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.503859 -> 0.9898 (+/-0.0161) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.503859 -> 0.9922 (+/-0.011) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.503859 -> 0.9891 (+/-0.0159) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.504859 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.504859 -> 0.993 (+/-0.0115) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.505857 -> 0.9883 (+/-0.0099) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.505857 -> 0.9852 (+/-0.0229) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.506851 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.506851 -> 0.9758 (+/-0.016) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.506851 -> 0.9883 (+/-0.0121) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.507900 -> 0.9898 (+/-0.0207) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.507900 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.508845 -> 0.9797 (+/-0.0234) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.508845 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.508845 -> 0.9813 (+/-0.0234) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.509878 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.509878 -> 0.9805 (+/-0.0221) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.510873 -> 0.9891 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.510873 -> 0.9875 (+/-0.02) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.511846 -> 0.9906 (+/-0.0106) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.511846 -> 0.9891 (+/-0.0159) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.512835 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.512835 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.512835 -> 0.9844 (+/-0.0148) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.513832 -> 0.9766 (+/-0.0163) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.513832 -> 0.9883 (+/-0.0121) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.514831 -> 0.9844 (+/-0.0237) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.514831 -> 0.9883 (+/-0.0121) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.515827 -> 0.9883 (+/-0.0191) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.515827 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.515827 -> 0.9797 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.516845 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.516845 -> 0.9844 (+/-0.0215) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.517822 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.517822 -> 0.9813 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.518819 -> 0.9906 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.518819 -> 0.9914 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.518819 -> 0.9922 (+/-0.011) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.519849 -> 0.9867 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.519849 -> 0.9898 (+/-0.0117) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.520814 -> 0.9914 (+/-0.0134) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.520814 -> 0.9867 (+/-0.0094) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.520814 -> 0.9844 (+/-0.0324) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.521832 -> 0.9899 (+/-0.0136) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.521832 -> 0.9867 (+/-0.0245) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.522809 -> 0.9906 (+/-0.0127) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.522809 -> 0.9906 (+/-0.0264) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.526078 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.526078 -> 0.9774 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.527078 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.527078 -> 0.9836 (+/-0.0254) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.528076 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.528076 -> 0.9875 (+/-0.0268) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.528076 -> 0.9891 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.529073 -> 0.9914 (+/-0.0143) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.529073 -> 0.9922 (+/-0.011) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.530071 -> 0.9898 (+/-0.0168) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.530071 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.531068 -> 0.9914 (+/-0.0134) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.531068 -> 0.9883 (+/-0.0099) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.531068 -> 0.9883 (+/-0.0232) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.532066 -> 0.9875 (+/-0.0194) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.532066 -> 0.9852 (+/-0.0239) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.533062 -> 0.9891 (+/-0.0115) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.533062 -> 0.9906 (+/-0.0161) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.534060 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.534060 -> 0.9828 (+/-0.0213) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.534060 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.535061 -> 0.9773 (+/-0.0181) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.535061 -> 0.9906 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.535061 -> 0.9672 (+/-0.0501) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.536054 -> 0.9898 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.536054 -> 0.9906 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.537052 -> 0.9898 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.537052 -> 0.9914 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.538049 -> 0.9914 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.538049 -> 0.9883 (+/-0.0148) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.538049 -> 0.9899 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.539054 -> 0.9781 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.541953 -> 0.9859 (+/-0.0127) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.541953 -> 0.9875 (+/-0.0143) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.542961 -> 0.9906 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.542961 -> 0.9836 (+/-0.0298) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.543965 -> 0.9898 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.543965 -> 0.9766 (+/-0.0221) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.543965 -> 0.9898 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.544949 -> 0.9789 (+/-0.0235) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.544949 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.545948 -> 0.9813 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.545948 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.546943 -> 0.9906 (+/-0.0127) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.546943 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.546943 -> 0.9906 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.547958 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.547958 -> 0.9898 (+/-0.0201) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.548939 -> 0.9906 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.548939 -> 0.9906 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.548939 -> 0.9875 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.549968 -> 0.9844 (+/-0.0301) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.549968 -> 0.9906 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.550934 -> 0.9813 (+/-0.0181) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.550934 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.551959 -> 0.9781 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.551959 -> 0.9898 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.551959 -> 0.9797 (+/-0.0273) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.552928 -> 0.9898 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.552928 -> 0.9852 (+/-0.0254) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.552928 -> 0.9898 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.553925 -> 0.9906 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.553925 -> 0.9891 (+/-0.0077) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.557957 -> 0.9898 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.557957 -> 0.9899 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.558981 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.558981 -> 0.9883 (+/-0.014) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.559962 -> 0.982 (+/-0.0153) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.559962 -> 0.9883 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.559962 -> 0.9852 (+/-0.0239) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.560986 -> 0.9899 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.560986 -> 0.9883 (+/-0.0191) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.561949 -> 0.9898 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.561949 -> 0.9797 (+/-0.0234) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.562947 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.562947 -> 0.9859 (+/-0.0213) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.562947 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.563944 -> 0.9789 (+/-0.0291) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.563944 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.564956 -> 0.9914 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.564956 -> 0.9898 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.565939 -> 0.9875 (+/-0.0159) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.565939 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.565939 -> 0.9899 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.566942 -> 0.9883 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.566942 -> 0.9844 (+/-0.0191) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.567934 -> 0.9867 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.567934 -> 0.986 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.567934 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.568950 -> 0.9844 (+/-0.0226) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.568950 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.569929 -> 0.9812 (+/-0.02) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.569929 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.569929 -> 0.9844 (+/-0.032) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.573470 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.573470 -> 0.9766 (+/-0.0111) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.574471 -> 0.9898 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.574471 -> 0.9883 (+/-0.0171) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.575467 -> 0.9898 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.575467 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.575467 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.576474 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.576474 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.577462 -> 0.9774 (+/-0.0254) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.577462 -> 0.9859 (+/-0.0127) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.577462 -> 0.9766 (+/-0.0232) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.578459 -> 0.9899 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.578459 -> 0.9844 (+/-0.0148) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.579456 -> 0.9898 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.579456 -> 0.9766 (+/-0.0185) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.579456 -> 0.9898 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.580454 -> 0.9852 (+/-0.0259) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.580454 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.581451 -> 0.9852 (+/-0.0229) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.581451 -> 0.9898 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.582448 -> 0.9906 (+/-0.0168) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.582448 -> 0.9891 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.582448 -> 0.9875 (+/-0.0229) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.583446 -> 0.9906 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.583446 -> 0.9883 (+/-0.021) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.584443 -> 0.9883 (+/-0.014) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.584443 -> 0.9891 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.584443 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.585441 -> 0.9875 (+/-0.0229) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.585441 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.589720 -> 0.9867 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.589720 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.590721 -> 0.9758 (+/-0.0181) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.590721 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.590721 -> 0.9797 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.591718 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.591718 -> 0.9711 (+/-0.0498) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.592717 -> 0.9898 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.592717 -> 0.9906 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.593713 -> 0.9898 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.593713 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.593713 -> 0.9899 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.594710 -> 0.9883 (+/-0.014) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.594710 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.595708 -> 0.982 (+/-0.0127) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.595708 -> 0.9875 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.595708 -> 0.9805 (+/-0.0164) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.596705 -> 0.9906 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.596705 -> 0.9883 (+/-0.0148) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.597702 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.597702 -> 0.9836 (+/-0.0254) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.597702 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.598700 -> 0.9774 (+/-0.016) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.598700 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.599698 -> 0.9797 (+/-0.0194) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.599698 -> 0.9898 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.599698 -> 0.9891 (+/-0.0159) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.600695 -> 0.9891 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.600695 -> 0.9906 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.601692 -> 0.9899 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.601692 -> 0.9914 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.605653 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.605653 -> 0.9867 (+/-0.0175) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.606652 -> 0.9906 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.606652 -> 0.9797 (+/-0.0239) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.606652 -> 0.9914 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.607649 -> 0.9844 (+/-0.0271) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.607649 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 15:17:24.608647 -> 0.9836 (+/-0.0181) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 15:17:24.608647 -> 0.9898 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 15:17:24.608647 -> 0.9805 (+/-0.0148) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 15:17:24.609654 -> 0.9898 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 15:17:24.609654 -> 0.9789 (+/-0.0315) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 15:17:24.609654 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}

2023-09-19 15:17:24.617988 -> Train time for Decision Tree: 0.08306827545166015 min
2023-09-19 15:17:24.618985 -> TRAINING: Support Vector Machine
2023-09-19 15:17:29.893716 -> 0.9071 (+/-0.0206) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.893716 -> 0.9251 (+/-0.0029) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.894675 -> 0.9188 (+/-0.0126) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.894675 -> 0.9805 (+/-0.0178) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.895673 -> 0.9118 (+/-0.0176) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.895673 -> 0.9797 (+/-0.0181) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.895673 -> 0.8813 (+/-0.0332) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.896670 -> 0.9852 (+/-0.0159) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.896670 -> 0.897 (+/-0.0234) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.897667 -> 0.9251 (+/-0.0029) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.897667 -> 0.8673 (+/-0.0523) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.897667 -> 0.9852 (+/-0.0135) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.898664 -> 0.8681 (+/-0.0148) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.898664 -> 0.9789 (+/-0.0161) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.898664 -> 0.8509 (+/-0.035) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.899701 -> 0.9898 (+/-0.0127) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.899701 -> 0.897 (+/-0.0234) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.900676 -> 0.9243 (+/-0.006) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.900676 -> 0.8595 (+/-0.0492) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.901666 -> 0.9899 (+/-0.0106) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.901666 -> 0.8626 (+/-0.0214) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.901666 -> 0.9875 (+/-0.0114) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.902697 -> 0.8485 (+/-0.0384) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 15:17:29.902697 -> 0.9914 (+/-0.0115) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 15:17:29.903653 -> BEST PARAMS for Support Vector Machine: {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}

2023-09-19 15:17:29.907097 -> Train time for Support Vector Machine: 0.08813520669937133 min
2023-09-19 15:17:29.908066 -> TRAINING: Logistic Regression
2023-09-19 15:17:31.305592 -> 0.8595 (+/-0.0303) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 15:17:31.306590 -> 0.9251 (+/-0.0029) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 15:17:31.306590 -> 0.9251 (+/-0.0029) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 15:17:31.307587 -> 0.9251 (+/-0.0029) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 15:17:31.307587 -> 0.9251 (+/-0.0029) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 15:17:31.308584 -> 0.9251 (+/-0.0029) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 15:17:31.308584 -> 0.9251 (+/-0.0029) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 15:17:31.308584 -> 0.9251 (+/-0.0029) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 15:17:31.309593 -> 0.9251 (+/-0.0029) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 15:17:31.309593 -> 0.9251 (+/-0.0029) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 15:17:31.310591 -> 0.9251 (+/-0.0029) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 15:17:31.310591 -> 0.9251 (+/-0.0029) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 15:17:31.311576 -> 0.9181 (+/-0.0514) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 15:17:31.311576 -> 0.9251 (+/-0.0029) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 15:17:31.311576 -> 0.9219 (+/-0.0118) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 15:17:31.312574 -> 0.9251 (+/-0.0029) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 15:17:31.312574 -> 0.9735 (+/-0.0125) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 15:17:31.312574 -> 0.9251 (+/-0.0029) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 15:17:31.313571 -> 0.9149 (+/-0.0255) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 15:17:31.313571 -> 0.9251 (+/-0.0029) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 15:17:31.314568 -> 0.9758 (+/-0.0152) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 15:17:31.314568 -> 0.9251 (+/-0.0029) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 15:17:31.314568 -> 0.9742 (+/-0.0182) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 15:17:31.315565 -> 0.9251 (+/-0.0029) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 15:17:31.315565 -> BEST PARAMS for Logistic Regression: {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}

2023-09-19 15:17:31.335396 -> Train time for Logistic Regression: 0.023788825670878092 min
2023-09-19 15:17:31.335396 -> TRAINING: Naive Bayes
2023-09-19 15:17:31.452021 -> 0.9844 (+/-0.0131) for {'var_smoothing': 1e-09}
2023-09-19 15:17:31.453018 -> 0.9844 (+/-0.0131) for {'var_smoothing': 1e-08}
2023-09-19 15:17:31.453018 -> 0.9844 (+/-0.0131) for {'var_smoothing': 1e-07}
2023-09-19 15:17:31.453018 -> 0.9844 (+/-0.0131) for {'var_smoothing': 1e-06}
2023-09-19 15:17:31.454016 -> 0.9735 (+/-0.0125) for {'var_smoothing': 1e-05}
2023-09-19 15:17:31.454016 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-09}

2023-09-19 15:17:31.457018 -> Train time for Naive Bayes: 0.0019861578941345213 min
2023-09-19 15:17:31.457018 -> 
PREDICTING ...

2023-09-19 15:17:31.505832 -> 

RF -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.9941 / F1-Score: 0.9971 / Accuracy: 0.9945  / AUC: 0.9779
2023-09-19 15:17:31.506834 -> 1.0 & 0.0 & 0.9941 & 0.9971 & 0.9945 & 0.9779
2023-09-19 15:17:31.528674 -> 

LR -- Recall: 0.9705 / Fall-out: 0.9090909090909091 / Precision: 0.997 / F1-Score: 0.9836 / Accuracy: 0.9699  / AUC: 0.9651
2023-09-19 15:17:31.528674 -> 0.9705 & 0.9090909090909091 & 0.997 & 0.9836 & 0.9699 & 0.9651
2023-09-19 15:17:31.546626 -> 

DT -- Recall: 1.0 / Fall-out: 0.0 / Precision: 0.9941 / F1-Score: 0.9971 / Accuracy: 0.9945  / AUC: 0.9601
2023-09-19 15:17:31.547621 -> 1.0 & 0.0 & 0.9941 & 0.9971 & 0.9945 & 0.9601
2023-09-19 15:17:31.563570 -> 

NB -- Recall: 0.9794 / Fall-out: 0.875 / Precision: 0.997 / F1-Score: 0.9881 / Accuracy: 0.9781  / AUC: 0.986
2023-09-19 15:17:31.563570 -> 0.9794 & 0.875 & 0.997 & 0.9881 & 0.9781 & 0.986
2023-09-19 15:17:31.598503 -> 

SVM -- Recall: 0.9941 / Fall-out: 0.6666666666666666 / Precision: 0.997 / F1-Score: 0.9956 / Accuracy: 0.9918  / AUC: 0.9784
2023-09-19 15:17:31.598503 -> 0.9941 & 0.6666666666666666 & 0.997 & 0.9956 & 0.9918 & 0.9784
2023-09-19 19:27:57.492273 -> Reading data from CSV ...
2023-09-19 19:27:57.520016 -> Data cleaning completed. Removed 0 records.
2023-09-19 19:27:57.521014 -> 44records remaining.
2023-09-19 19:27:57.521122 -> SPLITTING DATA
2023-09-19 19:27:57.529363 -> ----- Done Splitting data -----
2023-09-19 19:27:57.561097 -> Train{'len': 30, 'features': 7, 'count': label
B    16
M    14
Name: count, dtype: int64}
2023-09-19 19:27:57.563093 -> Validation{'len': 9, 'features': 7, 'count': label
M    5
B    4
Name: count, dtype: int64}
2023-09-19 19:27:57.565086 -> Test{'len': 5, 'features': 7, 'count': label
B    3
M    2
Name: count, dtype: int64}
2023-09-19 19:27:57.566084 -> 

Training Classifiers ...
2023-09-19 19:27:57.566084 -> TRAINING: Random Forest
2023-09-19 19:31:14.472511 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.472511 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.473508 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.473508 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.474505 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.474505 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.475588 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.475588 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.476589 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.477097 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.477607 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.477607 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.478730 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.479240 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.479240 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.480244 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.480244 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.481370 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.481878 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.482882 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.482882 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.482882 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.484066 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.484066 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.485173 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.485173 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.486177 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.487176 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.487176 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.488172 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.488172 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.489171 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.489171 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.490167 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.490167 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.492567 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.492567 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.493647 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.494155 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.494155 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.495336 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.495844 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.496352 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.497355 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.497355 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.498352 -> 0.8333 (+/-0.0) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.498352 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.499350 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.499350 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.500347 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.501344 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.501344 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.502341 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.502341 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.503340 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.503340 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.504336 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.505335 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.505335 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.506331 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.506331 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.507328 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.507328 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.508326 -> 0.8333 (+/-0.2108) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.508326 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.509323 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.510321 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.510321 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.511317 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.511317 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.512319 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.512319 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.513312 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.514309 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.514309 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.515308 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.515308 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.516380 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.516380 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.517427 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.517427 -> 0.8667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.518424 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.518424 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.519421 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.520420 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.520420 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.521543 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.521543 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.522567 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.523071 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.523071 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.524072 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.525070 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.525070 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.526067 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.526067 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.527184 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.527184 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.528238 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.528782 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.529784 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.529784 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.530781 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.530781 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.531780 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.531780 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.532812 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.532812 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.533875 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.533875 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.535035 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.535035 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.536163 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.536163 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.537266 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.537772 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.537772 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.538824 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.538824 -> 0.8333 (+/-0.0) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.539906 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.540448 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.540448 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.541486 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.541486 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.542596 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.542596 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.543597 -> 0.8333 (+/-0.2108) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.543597 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.544595 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.544595 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.545592 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.545592 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.546588 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.546588 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.547587 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.547587 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.548584 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.548584 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.549581 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.549581 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.549581 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.550615 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.550615 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.551612 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.551612 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.552608 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.552608 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.553608 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.553608 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.554653 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.554653 -> 0.8333 (+/-0.0) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.555922 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.555922 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.556971 -> 0.8333 (+/-0.0) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.557476 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.557476 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.558477 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.558477 -> 0.8333 (+/-0.0) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.559474 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.559474 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.560472 -> 0.8667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.560472 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.561469 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.561469 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.561469 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.562501 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.562501 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.563500 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.563500 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.564509 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.564509 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.565494 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.565494 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.566499 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.566499 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.567489 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.567489 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.568483 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.568483 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.569450 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.569450 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.570446 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.570446 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.571441 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.571441 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.572536 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.572536 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.572536 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.573613 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.573613 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.574614 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.574614 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.575607 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.575607 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.576606 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.576606 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.577601 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.577601 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.578599 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.578599 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.579576 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.579576 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.580558 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.580558 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.581554 -> 0.8333 (+/-0.0) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.581554 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.582553 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.582553 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.583550 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.583550 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.584548 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.584548 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.585545 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.585545 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.586542 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.586542 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.587540 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.587540 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.588537 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.588537 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.588537 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.589572 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.589572 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.590566 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.590566 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.591564 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.591564 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.592563 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.592563 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.593558 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.593558 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.594555 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.594555 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.595805 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.595874 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.595874 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.596927 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.597478 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.597478 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.598538 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.598538 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.598538 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.599996 -> 0.8667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.599996 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.601038 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.601543 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.601543 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.601543 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.603030 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.603030 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.603030 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.604364 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.604364 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.605391 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.605897 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.605897 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.605897 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.607436 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.607436 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.607436 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.608529 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.609071 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.609071 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.610218 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.610218 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.610218 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.611647 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.611647 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.611647 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.613163 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.613232 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.613232 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.614286 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.614828 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.614828 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.615863 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.616367 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.616367 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.617423 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.617423 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.617423 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.618823 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.618823 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.618823 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.620279 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.620279 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.620279 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.621702 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.621702 -> 0.8333 (+/-0.0) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.621702 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.623140 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.623140 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.623140 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.624661 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.624730 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.624730 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.625784 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.626325 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.626325 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.627489 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.627489 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.627489 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.628912 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.628912 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.628912 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.630444 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.630512 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.630512 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.631529 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.631529 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.632530 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.632530 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.633529 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.633529 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.634572 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.634572 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 19:31:14.635558 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 19:31:14.635558 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 19:31:14.636557 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 19:31:14.636557 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 19:31:14.637658 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 19:31:14.638162 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 19:31:14.638162 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 19:31:14.639200 -> 0.8667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 19:31:14.639200 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}

2023-09-19 19:31:14.678677 -> Train time for Random Forrest: 3.2851932644844055 min
2023-09-19 19:31:14.679674 -> TRAINING: Decision Tree
2023-09-19 19:31:20.071412 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.071412 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.072419 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.072419 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.073552 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.073552 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.074569 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.074569 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.075570 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.075570 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.076603 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.076603 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.077565 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.077565 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.077565 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.078605 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.078605 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.079596 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.079596 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.080601 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.080601 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.081590 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.081590 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.082586 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.082586 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.083584 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.083584 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.084665 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.084665 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.085728 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.085728 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.085728 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.087174 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.087174 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.087174 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.088608 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.088608 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.088608 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.090043 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.090043 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.090043 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.091489 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.091489 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.091489 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.092921 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.092921 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.092921 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.094375 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.094881 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.094881 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.095992 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.096060 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.096060 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.097114 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.097673 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.097673 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.098753 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.098753 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.098753 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.100206 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.100206 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.100206 -> 0.8 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.101741 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.101813 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.101813 -> 0.8 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.102868 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.103410 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.103410 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.104480 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.104480 -> 0.8333 (+/-0.0) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.104480 -> 0.8 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.105952 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.105952 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.105952 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.107400 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.107400 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.107400 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.108882 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.108882 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.108882 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.110307 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.110307 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.110307 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.111740 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.111740 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.111740 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.113271 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.113340 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.113340 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.114393 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.114958 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.114958 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.116018 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.116018 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.116018 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.117485 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.117485 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.117485 -> 0.8 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.118931 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.118931 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.118931 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.120420 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.120420 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.120420 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.121856 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.121856 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.121856 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.123289 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.123289 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.123289 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.124829 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.124901 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.124901 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.125956 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.126498 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.126498 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.127568 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.127568 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.127568 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.129033 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.129033 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.129033 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.130592 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.130661 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.130661 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.131717 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.132259 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.132259 -> 0.8 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.133434 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.133434 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.133434 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.134853 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.134853 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.134853 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.136362 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.136362 -> 0.7667 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.136362 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.137429 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.137970 -> 0.8 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.137970 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.139010 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.139010 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.139986 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.139986 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.140965 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.140965 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.141965 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.141965 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.142962 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.142962 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.143996 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.143996 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.145067 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.145067 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.145067 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.146507 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.146507 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.146507 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.148037 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.148037 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.148037 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.149133 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.149705 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.149705 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.150766 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.150766 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.150766 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.152228 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.152228 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.153314 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.153314 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.153314 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.154372 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.154372 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.155370 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.155370 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.156595 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.156595 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.156595 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.158048 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.158048 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.158048 -> 0.7667 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.159604 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.159604 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.159604 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.160698 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.161242 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.161242 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.162384 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.162384 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.162384 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.163794 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.163794 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.163794 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.165331 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.165397 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.165397 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.166452 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.166994 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.166994 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.168162 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.168162 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.169203 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.169203 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.169203 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.170537 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.171042 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.171042 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.171042 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.172463 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.172463 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 19:31:20.172463 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 19:31:20.173888 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 19:31:20.173888 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 19:31:20.173888 -> 0.8333 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 19:31:20.175320 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 19:31:20.175320 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}

2023-09-19 19:31:20.180190 -> Train time for Decision Tree: 0.09167526563008627 min
2023-09-19 19:31:20.180190 -> TRAINING: Support Vector Machine
2023-09-19 19:31:20.907658 -> 0.5333 (+/-0.1333) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.908165 -> 0.5333 (+/-0.1333) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.909168 -> 0.5333 (+/-0.1333) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.909168 -> 0.6 (+/-0.4) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.910165 -> 0.5333 (+/-0.1333) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.910165 -> 0.6 (+/-0.4) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.911162 -> 0.4 (+/-0.4) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.911162 -> 0.5667 (+/-0.4522) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.912243 -> 0.4 (+/-0.4) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.912243 -> 0.7 (+/-0.1333) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.913312 -> 0.5333 (+/-0.1333) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.913820 -> 0.8667 (+/-0.2494) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.913820 -> 0.6 (+/-0.2667) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.914822 -> 0.8667 (+/-0.2494) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.914822 -> 0.3667 (+/-0.3887) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.915820 -> 0.9333 (+/-0.1633) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.915820 -> 0.4 (+/-0.5416) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.916817 -> 0.6333 (+/-0.3266) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.917814 -> 0.5667 (+/-0.2667) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.917814 -> 0.8333 (+/-0.2108) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.918811 -> 0.5667 (+/-0.2667) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.918811 -> 0.8667 (+/-0.2494) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.919809 -> 0.3667 (+/-0.3887) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 19:31:20.919809 -> 0.9 (+/-0.1633) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 19:31:20.920806 -> BEST PARAMS for Support Vector Machine: {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}

2023-09-19 19:31:20.925793 -> Train time for Support Vector Machine: 0.012404576937357584 min
2023-09-19 19:31:20.925793 -> TRAINING: Logistic Regression
2023-09-19 19:31:21.639723 -> 0.5333 (+/-0.1333) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 19:31:21.640721 -> 0.4667 (+/-0.1333) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 19:31:21.641817 -> 0.4333 (+/-0.2667) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 19:31:21.641889 -> 0.4667 (+/-0.2494) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 19:31:21.643437 -> 0.5333 (+/-0.1333) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 19:31:21.643437 -> 0.5333 (+/-0.1333) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 19:31:21.644445 -> 0.4 (+/-0.3399) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 19:31:21.645442 -> 0.4333 (+/-0.4522) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 19:31:21.646438 -> 0.4667 (+/-0.2494) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 19:31:21.647436 -> 0.4333 (+/-0.4522) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 19:31:21.647436 -> 0.7667 (+/-0.1633) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 19:31:21.648434 -> 0.5667 (+/-0.4522) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 19:31:21.649431 -> 0.8667 (+/-0.2494) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 19:31:21.650428 -> 0.4667 (+/-0.5333) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 19:31:21.650428 -> 0.8667 (+/-0.1333) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 19:31:21.651426 -> 0.6 (+/-0.4989) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 19:31:21.652423 -> 0.8667 (+/-0.2494) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 19:31:21.653420 -> 0.6 (+/-0.4989) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 19:31:21.654417 -> 0.8667 (+/-0.1333) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 19:31:21.654417 -> 0.6 (+/-0.4989) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 19:31:21.655415 -> 0.8333 (+/-0.2108) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 19:31:21.656413 -> 0.6 (+/-0.4989) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 19:31:21.657410 -> 0.8667 (+/-0.1333) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 19:31:21.657410 -> 0.6 (+/-0.4989) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 19:31:21.658407 -> BEST PARAMS for Logistic Regression: {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}

2023-09-19 19:31:21.661398 -> Train time for Logistic Regression: 0.012260095278422038 min
2023-09-19 19:31:21.662397 -> TRAINING: Naive Bayes
2023-09-19 19:31:21.833956 -> 0.8333 (+/-0.2108) for {'var_smoothing': 1e-09}
2023-09-19 19:31:21.833956 -> 0.8333 (+/-0.2108) for {'var_smoothing': 1e-08}
2023-09-19 19:31:21.834956 -> 0.8667 (+/-0.1333) for {'var_smoothing': 1e-07}
2023-09-19 19:31:21.834956 -> 0.8667 (+/-0.1333) for {'var_smoothing': 1e-06}
2023-09-19 19:31:21.835951 -> 0.8667 (+/-0.1333) for {'var_smoothing': 1e-05}
2023-09-19 19:31:21.835951 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-07}

2023-09-19 19:31:21.838625 -> Train time for Naive Bayes: 0.0029287060101826985 min
2023-09-19 19:31:21.838625 -> 
PREDICTING ...

2023-09-19 19:31:21.893251 -> 

RF -- Recall: 1.0 / Fall-out: nan / Precision: 1.0 / F1-Score: 1.0 / Accuracy: 1.0  / AUC: 1.0
2023-09-19 19:31:21.894248 -> 1.0 & nan & 1.0 & 1.0 & 1.0 & 1.0
2023-09-19 19:31:21.913770 -> 

LR -- Recall: 1.0 / Fall-out: nan / Precision: 1.0 / F1-Score: 1.0 / Accuracy: 1.0  / AUC: 1.0
2023-09-19 19:31:21.914768 -> 1.0 & nan & 1.0 & 1.0 & 1.0 & 1.0
2023-09-19 19:31:21.934485 -> 

DT -- Recall: 1.0 / Fall-out: nan / Precision: 1.0 / F1-Score: 1.0 / Accuracy: 1.0  / AUC: 1.0
2023-09-19 19:31:21.935482 -> 1.0 & nan & 1.0 & 1.0 & 1.0 & 1.0
2023-09-19 19:31:21.957707 -> 

NB -- Recall: 0.8 / Fall-out: 1.0 / Precision: 1.0 / F1-Score: 0.8889 / Accuracy: 0.8889  / AUC: 1.0
2023-09-19 19:31:21.957707 -> 0.8 & 1.0 & 1.0 & 0.8889 & 0.8889 & 1.0
2023-09-19 19:31:21.977645 -> 

SVM -- Recall: 1.0 / Fall-out: nan / Precision: 1.0 / F1-Score: 1.0 / Accuracy: 1.0  / AUC: 1.0
2023-09-19 19:31:21.977645 -> 1.0 & nan & 1.0 & 1.0 & 1.0 & 1.0
2023-09-19 20:48:03.246511 -> Reading data from CSV ...
2023-09-19 20:48:03.286096 -> Data cleaning completed. Removed 0 records.
2023-09-19 20:48:03.288090 -> 44 records remaining.
2023-09-19 20:48:03.289045 -> SPLITTING DATA
2023-09-19 20:48:03.300059 -> ----- Done Splitting data -----
2023-09-19 20:48:03.301058 -> 
DATASET STATISTICS
2023-09-19 20:48:03.307817 -> Train {'len': 30, 'features': 7, 'count': label
M    17
B    13
Name: count, dtype: int64}
2023-09-19 20:48:03.311137 -> Validation {'len': 7, 'features': 7, 'count': label
B    5
M    2
Name: count, dtype: int64}
2023-09-19 20:48:03.314125 -> Test {'len': 7, 'features': 7, 'count': label
B    5
M    2
Name: count, dtype: int64}
2023-09-19 20:48:03.315299 -> 

TRAINING CLASSIFIERS
2023-09-19 20:48:03.317301 -> TRAINING: Random Forest
2023-09-19 20:52:12.994275 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:12.994275 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:12.995308 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:12.996271 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:12.996271 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:12.997269 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:12.997269 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:12.998269 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:12.998269 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:12.999265 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:12.999265 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.000321 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.000321 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.001337 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.001842 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.001842 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.002842 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.002842 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.003841 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.003841 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.004875 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.004875 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.005872 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.005872 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.006867 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.007870 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.007870 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.008828 -> 0.8333 (+/-0.2981) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.008828 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.009825 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.010823 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.010823 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.011913 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.011913 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.012954 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.012954 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.013944 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.014943 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.014943 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.015904 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.015904 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.016938 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.016938 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.018196 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.018739 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.019783 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.019783 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.020737 -> 0.8333 (+/-0.4216) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.020737 -> 0.8667 (+/-0.3266) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.021773 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.022771 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.022771 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.023730 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.023730 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.024728 -> 0.8667 (+/-0.2494) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.024728 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.025760 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.026722 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.026722 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.027719 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.027719 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.028715 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.028715 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.029748 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.029748 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.030747 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.030747 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.031745 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.032706 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.032706 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.033703 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.033703 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.034702 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.034702 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.035716 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.035716 -> 0.9333 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.036731 -> 0.8667 (+/-0.3266) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.037692 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.037692 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.038690 -> 0.8667 (+/-0.3266) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.038690 -> 0.9 (+/-0.2667) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.039808 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.039808 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.040842 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.040842 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.041839 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.042801 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.042801 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.043837 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.043837 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.044797 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.044797 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.045898 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.045898 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.046941 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.046941 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.047977 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.048971 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.048971 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.049936 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.049936 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.050930 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.050930 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.051963 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.051963 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.052963 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.053922 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.053922 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.054920 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.054920 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.055922 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.055922 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.056950 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.057912 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.057912 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.058909 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.058909 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.059919 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.060426 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.060426 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.061550 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.062056 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.062056 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.063187 -> 0.8667 (+/-0.3266) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.063693 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.063693 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.064804 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.065310 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.065310 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.066432 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.066936 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.066936 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.068224 -> 0.8667 (+/-0.3266) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.068224 -> 0.8667 (+/-0.3266) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.069246 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.069246 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.070345 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.070345 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.071463 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.071969 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.071969 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.073080 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.073586 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.073586 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.074693 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.075199 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.075199 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.076324 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.076830 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.076830 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.077965 -> 0.8667 (+/-0.3266) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.078471 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.078471 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.079649 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.079649 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.080694 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.080694 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.081763 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.082305 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.082305 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.083492 -> 0.9 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.083492 -> 0.9333 (+/-0.2667) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.084627 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.085133 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.085133 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.086248 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.086754 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.086754 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.087874 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.088380 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.088380 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.089493 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.089999 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.089999 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.091178 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.091178 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.092226 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.092226 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.093240 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.093240 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.094360 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.094867 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.094867 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.096059 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.096564 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.096564 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.097690 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.098198 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.098198 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.099200 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.099200 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.100197 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.100197 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.101194 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.101194 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.102192 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.102192 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.103225 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.103225 -> 0.8333 (+/-0.2981) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.104221 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.104221 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.105184 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.105184 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.106179 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.106179 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.107177 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.107177 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.108175 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.108175 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.109172 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.109172 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.110169 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.110169 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.111165 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.111165 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.111165 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.112200 -> 0.8667 (+/-0.2494) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.112200 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.113196 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.113196 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.114195 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.115159 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.115159 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.116156 -> 0.8667 (+/-0.3266) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.116156 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.117153 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.117153 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.118151 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.118151 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.119147 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.119147 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.120155 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.120155 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.121142 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.121142 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.122139 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.122139 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.123138 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.123138 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.124134 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.124134 -> 0.9333 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.125131 -> 0.8333 (+/-0.4216) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.125131 -> 0.9 (+/-0.2667) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.126129 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.126129 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.127126 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.127126 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.128123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.128123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.129121 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.129121 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.130118 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.130118 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.131116 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.131116 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.132113 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.132113 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.133110 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.134108 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.134108 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.135108 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.135108 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.136103 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.137101 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.137101 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.138096 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.138096 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.139095 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.140093 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.140093 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.141090 -> 0.8333 (+/-0.2981) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.141090 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.142088 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.143084 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.143084 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.144081 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.144081 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.145079 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.145079 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.146077 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.146077 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.147074 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.148071 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.148071 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.149068 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.149068 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.150066 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.150066 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.151063 -> 0.8333 (+/-0.4216) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.151063 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.152060 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.153058 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.153058 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.154055 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.154055 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.155053 -> 0.8333 (+/-0.4216) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.155053 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.156050 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.156050 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.157047 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.157047 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.158044 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.159042 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.159042 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.160039 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.160039 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.161036 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.161036 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.162033 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.163031 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.163031 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.164028 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.164028 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.165026 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.165026 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.166023 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 20:52:13.166023 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 20:52:13.167020 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 20:52:13.168017 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 20:52:13.168017 -> 0.9333 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 20:52:13.169015 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 20:52:13.169015 -> 0.8333 (+/-0.2981) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 20:52:13.170012 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 20:52:13.170012 -> 0.9 (+/-0.2667) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 20:52:13.171010 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}

2023-09-19 20:52:13.244232 -> Train time for Random Forrest: 4.165432246526082 min
2023-09-19 20:52:13.245575 -> TRAINING: Decision Tree
2023-09-19 20:52:18.713403 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.714363 -> 0.7667 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.714478 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.714478 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.715582 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.716121 -> 0.7667 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.716121 -> 0.8333 (+/-0.4216) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.717189 -> 0.8333 (+/-0.4216) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.717189 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.717189 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.718663 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.718663 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.718663 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.720177 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.720177 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.720177 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.721283 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.721790 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.721790 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.722857 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.722857 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.722857 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.724261 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.724261 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.724261 -> 0.8333 (+/-0.4216) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.725335 -> 0.7333 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.725335 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.726516 -> 0.8 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.726516 -> 0.8333 (+/-0.4216) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.726516 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.727980 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.727980 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.727980 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.729396 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.729396 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.729396 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.730944 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.730944 -> 0.7333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.730944 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.732042 -> 0.7667 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.732042 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.732042 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.733505 -> 0.8333 (+/-0.4216) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.733505 -> 0.8 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.733505 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.735007 -> 0.7333 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.735007 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.735007 -> 0.7333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.736502 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.736502 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.736502 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.737598 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.738102 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.738102 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.739166 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.739166 -> 0.7667 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.739166 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.740571 -> 0.8333 (+/-0.2981) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.740571 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.741571 -> 0.8 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.741571 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.741571 -> 0.8 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.742930 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.742930 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.742930 -> 0.8333 (+/-0.4216) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.744380 -> 0.8 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.744380 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.744380 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.745769 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.745769 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.745769 -> 0.7 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.747234 -> 0.7667 (+/-0.3399) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.747234 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.748254 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.748254 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.748254 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.749694 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.750236 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.750236 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.751447 -> 0.7667 (+/-0.4522) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.751964 -> 0.8333 (+/-0.4216) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.751964 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.753120 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.753120 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.754157 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.754157 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.755151 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.755151 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.756411 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.756929 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.756929 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.758052 -> 0.7667 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.758556 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.758556 -> 0.7667 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.759631 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.759631 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.759631 -> 0.8333 (+/-0.4216) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.761116 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.761116 -> 0.8333 (+/-0.4216) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.761116 -> 0.8 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.762613 -> 0.8333 (+/-0.4216) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.762613 -> 0.8 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.762613 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.764105 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.764105 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.765139 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.765139 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.765139 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.766620 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.766620 -> 0.8 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.767739 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.768244 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.768244 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.769251 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.769765 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.769765 -> 0.7667 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.770765 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.770765 -> 0.7 (+/-0.3266) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.771800 -> 0.8333 (+/-0.4216) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.771800 -> 0.8 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.772840 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.773394 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.773394 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.774484 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.774484 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.775545 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.775545 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.775545 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.776956 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.777509 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.777509 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.778654 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.779209 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.779209 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.780395 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.781460 -> 0.7333 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.781460 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.782419 -> 0.7667 (+/-0.4) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.782419 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.783479 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.784027 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.784027 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.785196 -> 0.7 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.785196 -> 0.7667 (+/-0.3399) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.786451 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.786451 -> 0.7667 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.787468 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.787468 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.788544 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.788544 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.789583 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.790091 -> 0.8 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.790091 -> 0.8333 (+/-0.4216) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.791185 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.791689 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.791689 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.792799 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.793306 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.793306 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.794424 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.794424 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.795481 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.795481 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.796629 -> 0.7667 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.796629 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.797884 -> 0.8 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.797884 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.798903 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.798903 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.799912 -> 0.8333 (+/-0.4216) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.800417 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.800417 -> 0.8 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.801483 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.802022 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.802022 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.803282 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.803282 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.804303 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.804303 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.804303 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.805787 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.805787 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.806887 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.807393 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.807393 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.808558 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.809064 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.809064 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.810184 -> 0.8333 (+/-0.4216) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.810690 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.810690 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.811764 -> 0.8 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.812268 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.812268 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.813333 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.813891 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.814433 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.814433 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.815588 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.815588 -> 0.8 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.816678 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.817182 -> 0.8333 (+/-0.2981) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.817182 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.818282 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.818787 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.818787 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.819997 -> 0.8333 (+/-0.4216) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.819997 -> 0.7333 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.821018 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.821018 -> 0.8 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.822242 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 20:52:18.822760 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 20:52:18.823292 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 20:52:18.823292 -> 0.7667 (+/-0.3399) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 20:52:18.824369 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 20:52:18.824369 -> 0.7 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 20:52:18.825546 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}

2023-09-19 20:52:18.827639 -> Train time for Decision Tree: 0.09303304354349771 min
2023-09-19 20:52:18.828636 -> TRAINING: Support Vector Machine
2023-09-19 20:52:19.619568 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.620563 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.621560 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.621560 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.621560 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.622558 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.622558 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.623555 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.623555 -> 0.3333 (+/-0.2981) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.624563 -> 0.5333 (+/-0.3266) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.624563 -> 0.3 (+/-0.2494) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.625537 -> 0.8667 (+/-0.1333) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.625537 -> 0.3 (+/-0.2494) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.626586 -> 0.8667 (+/-0.1333) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.626586 -> 0.5333 (+/-0.1333) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.627585 -> 0.9667 (+/-0.1333) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.628090 -> 0.2 (+/-0.3266) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.628090 -> 0.7667 (+/-0.1633) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.628090 -> 0.3 (+/-0.3266) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.629469 -> 0.9 (+/-0.1633) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.629469 -> 0.3667 (+/-0.4899) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.629469 -> 0.9 (+/-0.1633) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.630862 -> 0.3333 (+/-0.2981) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 20:52:19.630862 -> 0.9333 (+/-0.1633) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 20:52:19.630862 -> BEST PARAMS for Support Vector Machine: {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}

2023-09-19 20:52:19.634040 -> Train time for Support Vector Machine: 0.013423399130503336 min
2023-09-19 20:52:19.635163 -> TRAINING: Logistic Regression
2023-09-19 20:52:20.417728 -> 0.4333 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 20:52:20.418725 -> 0.5 (+/-0.2108) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 20:52:20.418725 -> 0.5667 (+/-0.1633) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 20:52:20.419796 -> 0.5667 (+/-0.1633) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 20:52:20.419796 -> 0.4333 (+/-0.1633) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 20:52:20.420796 -> 0.5 (+/-0.2108) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 20:52:20.420796 -> 0.5333 (+/-0.2494) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 20:52:20.421826 -> 0.4333 (+/-0.2667) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 20:52:20.421826 -> 0.5667 (+/-0.2667) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 20:52:20.422887 -> 0.4667 (+/-0.1333) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 20:52:20.423395 -> 0.6 (+/-0.6182) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 20:52:20.423395 -> 0.5 (+/-0.5578) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 20:52:20.424444 -> 0.8333 (+/-0.2981) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 20:52:20.424952 -> 0.8 (+/-0.2494) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 20:52:20.425458 -> 0.8333 (+/-0.2108) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 20:52:20.425458 -> 0.8 (+/-0.2494) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 20:52:20.426461 -> 0.8 (+/-0.3266) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 20:52:20.426461 -> 0.8 (+/-0.2494) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 20:52:20.427600 -> 0.8 (+/-0.3266) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 20:52:20.427600 -> 0.8 (+/-0.2494) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 20:52:20.428601 -> 0.8 (+/-0.3266) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 20:52:20.429598 -> 0.8 (+/-0.2494) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 20:52:20.429598 -> 0.8 (+/-0.3887) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 20:52:20.430596 -> 0.8 (+/-0.2494) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 20:52:20.430596 -> BEST PARAMS for Logistic Regression: {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}

2023-09-19 20:52:20.435439 -> Train time for Logistic Regression: 0.013329517841339112 min
2023-09-19 20:52:20.435439 -> TRAINING: Naive Bayes
2023-09-19 20:52:20.589720 -> 0.8333 (+/-0.2108) for {'var_smoothing': 1e-09}
2023-09-19 20:52:20.590717 -> 0.8333 (+/-0.2108) for {'var_smoothing': 1e-08}
2023-09-19 20:52:20.591714 -> 0.8667 (+/-0.1333) for {'var_smoothing': 1e-07}
2023-09-19 20:52:20.591714 -> 0.8667 (+/-0.1333) for {'var_smoothing': 1e-06}
2023-09-19 20:52:20.591714 -> 0.9 (+/-0.1633) for {'var_smoothing': 1e-05}
2023-09-19 20:52:20.592711 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-05}

2023-09-19 20:52:20.594706 -> Train time for Naive Bayes: 0.0026544491449991864 min
2023-09-19 20:52:20.594706 -> ----- Done training classifiers -----
2023-09-19 20:52:20.595703 -> 
 BENCHMARKING THE CLASSIFIERS
2023-09-19 20:52:20.595703 -> Order of importance: AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-09-19 20:52:20.675194 -> 
RF --  AUC: 0.9977 / Recall: 1.0 / Precision: 0.9444 / F1-Score: 0.9714 / Accuracy: 0.9667 / Fall-out: 0.0
2023-09-19 20:52:20.676605 -> 0.9977 & 1.0 & 0.9444 & 0.9714 & 0.9667 & 0.0
2023-09-19 20:52:20.696862 -> 
LR --  AUC: 0.871 / Recall: 0.8235 / Precision: 0.9333 / F1-Score: 0.875 / Accuracy: 0.8667 / Fall-out: 0.75
2023-09-19 20:52:20.696862 -> 0.871 & 0.8235 & 0.9333 & 0.875 & 0.8667 & 0.75
2023-09-19 20:52:20.717065 -> 
DT --  AUC: 0.9819 / Recall: 1.0 / Precision: 0.9444 / F1-Score: 0.9714 / Accuracy: 0.9667 / Fall-out: 0.0
2023-09-19 20:52:20.717065 -> 0.9819 & 1.0 & 0.9444 & 0.9714 & 0.9667 & 0.0
2023-09-19 20:52:20.737193 -> 
NB --  AUC: 0.9706 / Recall: 0.8824 / Precision: 0.9375 / F1-Score: 0.9091 / Accuracy: 0.9 / Fall-out: 0.6666666666666666
2023-09-19 20:52:20.738152 -> 0.9706 & 0.8824 & 0.9375 & 0.9091 & 0.9 & 0.6666666666666666
2023-09-19 20:52:20.758128 -> 
SVM --  AUC: 0.9977 / Recall: 1.0 / Precision: 0.9444 / F1-Score: 0.9714 / Accuracy: 0.9667 / Fall-out: 0.0
2023-09-19 20:52:20.758128 -> 0.9977 & 1.0 & 0.9444 & 0.9714 & 0.9667 & 0.0
2023-09-19 21:09:39.527032 -> Reading data from CSV ...
2023-09-19 21:09:39.614329 -> Data cleaning completed. Removed 0 records.
2023-09-19 21:09:39.616525 -> 1831 records remaining.
2023-09-19 21:09:39.617528 -> SPLITTING DATA
2023-09-19 21:09:39.633480 -> ----- Done Splitting data -----
2023-09-19 21:09:39.635474 -> 
DATASET STATISTICS
2023-09-19 21:09:39.641869 -> Train {'len': 1281, 'features': 7, 'count': label
M    1192
B      89
Name: count, dtype: int64}
2023-09-19 21:09:39.646161 -> Validation {'len': 275, 'features': 7, 'count': label
M    260
B     15
Name: count, dtype: int64}
2023-09-19 21:09:39.650292 -> Test {'len': 275, 'features': 7, 'count': label
M    242
B     33
Name: count, dtype: int64}
2023-09-19 21:09:39.651547 -> 

TRAINING CLASSIFIERS
2023-09-19 21:09:39.652637 -> TRAINING: Random Forest
2023-09-19 21:13:59.012498 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.013502 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.014498 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.015647 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.016648 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.017646 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.018644 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.018644 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.019640 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.020638 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.021635 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.022632 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.023629 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.024627 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.025625 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.025625 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.026622 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.027617 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.028611 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.029614 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.030611 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.031609 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.032607 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.032607 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.033707 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.034746 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.035743 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.036740 -> 0.9969 (+/-0.0058) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.036740 -> 0.9969 (+/-0.0058) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.037738 -> 0.9969 (+/-0.0058) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.038837 -> 0.9977 (+/-0.0038) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.039877 -> 0.9977 (+/-0.0038) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.040874 -> 0.9977 (+/-0.0038) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.041873 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.041873 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.042869 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.044034 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.045036 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.046033 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.047030 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.048027 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.048027 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.049025 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.050022 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.051016 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.052019 -> 0.9945 (+/-0.0038) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.053014 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.054011 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.055009 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.056007 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.056007 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.057004 -> 0.9945 (+/-0.0038) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.057995 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.058997 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.059995 -> 0.9969 (+/-0.0058) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.060993 -> 0.9969 (+/-0.0058) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.061990 -> 0.9969 (+/-0.0058) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.061990 -> 0.9969 (+/-0.0058) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.062987 -> 0.9977 (+/-0.0038) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.063985 -> 0.9977 (+/-0.0038) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.064977 -> 0.9906 (+/-0.0145) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.065979 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.066977 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.067974 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.067974 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.068971 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.069969 -> 0.9977 (+/-0.0038) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.070966 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.071964 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.072961 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.074136 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.074136 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.075138 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.076135 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.077132 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.078124 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.079127 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.080124 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.081121 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.082119 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.082119 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.083117 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.084114 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.085105 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.086251 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.087252 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.087252 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.088250 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.089247 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.090240 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.091240 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.092239 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.093236 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.094233 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.094233 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.095231 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.096228 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.097225 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.098223 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.099220 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.100218 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.100218 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.101215 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.102207 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.103209 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.104207 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.105204 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.106202 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.106202 -> 0.9969 (+/-0.0058) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.107199 -> 0.9969 (+/-0.0058) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.108196 -> 0.9969 (+/-0.0058) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.109188 -> 0.9977 (+/-0.0038) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.110334 -> 0.9977 (+/-0.0038) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.111336 -> 0.9969 (+/-0.0058) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.112333 -> 0.9898 (+/-0.0106) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.112333 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.113330 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.114323 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.115325 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.116322 -> 0.9977 (+/-0.0038) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.117319 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.118317 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.118317 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.119315 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.120312 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.121309 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.122307 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.123300 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.124301 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.125298 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.126296 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.127293 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.127293 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.128291 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.129282 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.130285 -> 0.9969 (+/-0.0058) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.131282 -> 0.9969 (+/-0.0058) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.132280 -> 0.9969 (+/-0.0058) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.133277 -> 0.9977 (+/-0.0038) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.134360 -> 0.9977 (+/-0.0038) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.134460 -> 0.9977 (+/-0.0038) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.135461 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.136463 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.137456 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.138454 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.139451 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.139451 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.140449 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.141445 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.142443 -> 0.9961 (+/-0.0049) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.143440 -> 0.993 (+/-0.0058) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.144438 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.145436 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.145436 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.146535 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.147582 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.148580 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.149577 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.149577 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.150575 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.151733 -> 0.9898 (+/-0.0106) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.152735 -> 0.9914 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.153732 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.154729 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.155726 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.156724 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.156724 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.157721 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.158717 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.159715 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.160713 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.161710 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.161710 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.162708 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.163705 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.164702 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.165704 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.166697 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.167694 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.168692 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.168692 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.169689 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.170686 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.171683 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.172681 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.173678 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.173678 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.174676 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.175845 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.176847 -> 0.9969 (+/-0.0058) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.177844 -> 0.9969 (+/-0.0058) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.178842 -> 0.9969 (+/-0.0058) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.178842 -> 0.9977 (+/-0.0038) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.179840 -> 0.9977 (+/-0.0038) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.180831 -> 0.9977 (+/-0.0038) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.181944 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.182945 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.183943 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.183943 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.184939 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.185934 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.186934 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.187931 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.188929 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.189927 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.189927 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.190924 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.191925 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.192918 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.193915 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.194913 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.194913 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.195911 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.196908 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.197905 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.198902 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.200060 -> 0.9969 (+/-0.0058) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.200060 -> 0.9969 (+/-0.0058) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.201062 -> 0.9969 (+/-0.0058) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.202059 -> 0.9977 (+/-0.0038) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.203051 -> 0.9977 (+/-0.0038) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.204053 -> 0.9977 (+/-0.0038) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.205051 -> 0.9898 (+/-0.0106) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.206049 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.206049 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.207046 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.208043 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.209035 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.210037 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.211035 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.212033 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.212033 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.213029 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.214027 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.215019 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.216022 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.217019 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.218137 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.218137 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.219138 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.220131 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.221134 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.222125 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.223123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.224121 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.225118 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.226115 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.227117 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.229108 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.230105 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.231107 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.232099 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.233097 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.234093 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.235092 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.236089 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.237086 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.238088 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.239081 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.240082 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.241075 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.242077 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.243074 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.244072 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.245069 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.245069 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.247058 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.248164 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.248229 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.249231 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.250223 -> 0.9969 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.251226 -> 0.9969 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.252223 -> 0.9969 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.253221 -> 0.9977 (+/-0.0038) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.254219 -> 0.9977 (+/-0.0038) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.255210 -> 0.9969 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.256211 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.257212 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.258205 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.259200 -> 0.9953 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.260321 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.261323 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.262320 -> 0.9977 (+/-0.0038) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.263313 -> 0.9977 (+/-0.0038) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.264315 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.264315 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.265312 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.266404 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.267439 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.268436 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.269434 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.270432 -> 0.9945 (+/-0.0038) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.271589 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.272588 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.273586 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.275579 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.276576 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.277745 -> 0.9969 (+/-0.0058) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.277745 -> 0.9969 (+/-0.0058) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.278747 -> 0.9969 (+/-0.0058) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.279744 -> 0.9977 (+/-0.0038) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.280737 -> 0.9977 (+/-0.0038) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.281733 -> 0.9977 (+/-0.0038) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.282737 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.283728 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.284731 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.285727 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.286726 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.287724 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.287724 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.289718 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.290713 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.291708 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.293703 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.294700 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.295697 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-19 21:13:59.296694 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-19 21:13:59.297691 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-19 21:13:59.298690 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-19 21:13:59.299686 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-19 21:13:59.300682 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-19 21:13:59.301681 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-19 21:13:59.302679 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-19 21:13:59.303676 -> 0.9914 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-19 21:13:59.304673 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}

2023-09-19 21:13:59.363103 -> Train time for Random Forrest: 4.328498395284017 min
2023-09-19 21:13:59.364100 -> TRAINING: Decision Tree
2023-09-19 21:14:11.137993 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.139583 -> 0.9953 (+/-0.0058) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.139583 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.140626 -> 0.9938 (+/-0.0106) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.141586 -> 0.9898 (+/-0.0189) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.142618 -> 0.9969 (+/-0.0031) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.143721 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.145036 -> 0.9938 (+/-0.0062) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.146080 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.147037 -> 0.9945 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.148076 -> 0.9898 (+/-0.0189) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.149071 -> 0.9906 (+/-0.0062) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.149071 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.150068 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.151067 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.152057 -> 0.9922 (+/-0.0049) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.153055 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.154020 -> 0.9906 (+/-0.0106) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.155016 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.156012 -> 0.9961 (+/-0.0049) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.157044 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.158041 -> 0.9961 (+/-0.0049) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.159005 -> 0.9898 (+/-0.0189) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.160002 -> 0.9938 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.161122 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.161189 -> 0.9922 (+/-0.0099) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.162227 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.163216 -> 0.9922 (+/-0.0164) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.164183 -> 0.9898 (+/-0.0189) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.165181 -> 0.9938 (+/-0.0062) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.166431 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.166431 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.167468 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.168463 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.169463 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.170422 -> 0.9891 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.171625 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.171625 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.172662 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.173644 -> 0.9953 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.174622 -> 0.9898 (+/-0.0189) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.175616 -> 0.9938 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.176799 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.176799 -> 0.9914 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.177838 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.178833 -> 0.9891 (+/-0.0174) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.179793 -> 0.9898 (+/-0.0189) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.180790 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.181914 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.181977 -> 0.9898 (+/-0.0136) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.183012 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.183974 -> 0.9914 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.185004 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.185967 -> 0.9938 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.187000 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.187151 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.188188 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.189148 -> 0.993 (+/-0.0031) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.190181 -> 0.9898 (+/-0.0189) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.191175 -> 0.9969 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.191175 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.192322 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.193351 -> 0.9953 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.194319 -> 0.993 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.195355 -> 0.9898 (+/-0.0189) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.196346 -> 0.9938 (+/-0.0062) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.197431 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.197500 -> 0.9844 (+/-0.0191) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.198536 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.199524 -> 0.993 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.200494 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.201492 -> 0.9852 (+/-0.0286) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.202523 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.202720 -> 0.9969 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.203756 -> 0.9961 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.204717 -> 0.9945 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.205756 -> 0.9906 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.206745 -> 0.9938 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.206745 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.207930 -> 0.9953 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.208946 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.209926 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.210962 -> 0.9906 (+/-0.0153) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.211961 -> 0.9945 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.211961 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.213173 -> 0.9922 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.214215 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.215168 -> 0.9938 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.216200 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.216200 -> 0.9922 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.217198 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.218413 -> 0.9953 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.219413 -> 0.9961 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.220444 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.221441 -> 0.9906 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.221441 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.222445 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.223439 -> 0.9922 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.224399 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.225397 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.226394 -> 0.9906 (+/-0.0153) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.227433 -> 0.9953 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.227433 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.228427 -> 0.9867 (+/-0.0168) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.229530 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.230614 -> 0.9938 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.231617 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.232608 -> 0.9906 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.233606 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.234740 -> 0.9969 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.234841 -> 0.9961 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.235878 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.236872 -> 0.9906 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.237869 -> 0.9945 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.238834 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.240028 -> 0.9953 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.241061 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.241061 -> 0.9898 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.242065 -> 0.9906 (+/-0.0153) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.243060 -> 0.9953 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.244021 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.245019 -> 0.9875 (+/-0.0194) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.246217 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.246217 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.247255 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.248215 -> 0.9883 (+/-0.0164) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.249211 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.250207 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.251240 -> 0.9961 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.251427 -> 0.9969 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.252466 -> 0.9906 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.253425 -> 0.9938 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.254466 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.255458 -> 0.9922 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.255458 -> 0.9961 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.256659 -> 0.9945 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.257659 -> 0.9906 (+/-0.0153) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.258656 -> 0.9945 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.259692 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.259692 -> 0.9922 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.260690 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.261682 -> 0.9906 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.264698 -> 0.9898 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.265695 -> 0.9875 (+/-0.0194) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.266655 -> 0.9945 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.267650 -> 0.9945 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.268689 -> 0.9961 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.269684 -> 0.9938 (+/-0.0127) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.269684 -> 0.9906 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.270682 -> 0.9961 (+/-0.0086) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.271682 -> 0.9961 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.272639 -> 0.9953 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.273635 -> 0.9961 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.274645 -> 0.9945 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.275671 -> 0.9906 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.276668 -> 0.9922 (+/-0.0086) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.276668 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.277663 -> 0.9914 (+/-0.0114) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.278660 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.279660 -> 0.9914 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.280617 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.281641 -> 0.9914 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.282652 -> 0.9945 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.283653 -> 0.9953 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.283653 -> 0.9961 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.284647 -> 0.9969 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.285641 -> 0.9906 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.286642 -> 0.9961 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.287598 -> 0.9961 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.288604 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.289631 -> 0.9961 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.290630 -> 0.993 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.290630 -> 0.9906 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.291625 -> 0.993 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.292625 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.293585 -> 0.9852 (+/-0.0286) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.294619 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.295612 -> 0.993 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.295612 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.296804 -> 0.9906 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.297805 -> 0.9945 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.298802 -> 0.9961 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.299836 -> 0.9961 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.300795 -> 0.9945 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.301832 -> 0.9906 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.302023 -> 0.9953 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.303061 -> 0.9961 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.304020 -> 0.9945 (+/-0.0062) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.305056 -> 0.9961 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.306047 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.307206 -> 0.9906 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.307206 -> 0.9953 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.308247 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.309241 -> 0.9859 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.310201 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.311198 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.312236 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.312431 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.313472 -> 0.9945 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.314428 -> 0.9953 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.315464 -> 0.9961 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.316421 -> 0.9969 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.317461 -> 0.9906 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.317656 -> 0.9969 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.318697 -> 0.9961 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.319692 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.320648 -> 0.9961 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.321648 -> 0.9953 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.322869 -> 0.9906 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.322869 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.323910 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-19 21:14:11.324907 -> 0.993 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-19 21:14:11.325864 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-19 21:14:11.326900 -> 0.9899 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-19 21:14:11.327898 -> 0.9898 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-19 21:14:11.328897 -> 0.9922 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-19 21:14:11.328897 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}

2023-09-19 21:14:11.333883 -> Train time for Decision Tree: 0.19946308533350626 min
2023-09-19 21:14:11.334883 -> TRAINING: Support Vector Machine
2023-09-19 21:14:23.194733 -> 0.9188 (+/-0.0168) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.195691 -> 0.9305 (+/-0.0031) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.196686 -> 0.9305 (+/-0.0031) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.197683 -> 0.9906 (+/-0.0063) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.197683 -> 0.9251 (+/-0.0032) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.198913 -> 0.9891 (+/-0.0104) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.199952 -> 0.8946 (+/-0.023) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.200955 -> 0.9945 (+/-0.0038) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.201911 -> 0.9048 (+/-0.0225) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.202904 -> 0.9305 (+/-0.0031) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.203943 -> 0.9204 (+/-0.0126) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.203943 -> 0.993 (+/-0.0031) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.204938 -> 0.8923 (+/-0.0294) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.205936 -> 0.9922 (+/-0.0049) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.206930 -> 0.8634 (+/-0.0264) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.207892 -> 0.9945 (+/-0.0038) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.208927 -> 0.9032 (+/-0.024) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.209925 -> 0.9297 (+/-0.0049) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.210922 -> 0.9102 (+/-0.0191) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.211922 -> 0.9938 (+/-0.0062) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.212918 -> 0.8665 (+/-0.0309) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.212918 -> 0.9922 (+/-0.0049) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.213914 -> 0.8618 (+/-0.0238) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-19 21:14:23.214915 -> 0.9945 (+/-0.0038) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-19 21:14:23.215896 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}

2023-09-19 21:14:23.220895 -> Train time for Support Vector Machine: 0.19810020526250202 min
2023-09-19 21:14:23.221894 -> TRAINING: Logistic Regression
2023-09-19 21:14:26.955045 -> 0.8704 (+/-0.0092) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 21:14:26.956043 -> 0.9305 (+/-0.0031) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 21:14:26.957044 -> 0.9305 (+/-0.0031) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 21:14:26.958037 -> 0.9305 (+/-0.0031) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 21:14:26.959035 -> 0.9305 (+/-0.0031) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 21:14:26.960031 -> 0.9305 (+/-0.0031) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 21:14:26.961121 -> 0.9305 (+/-0.0031) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 21:14:26.961217 -> 0.9305 (+/-0.0031) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 21:14:26.962214 -> 0.929 (+/-0.0032) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 21:14:26.963216 -> 0.9305 (+/-0.0031) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 21:14:26.964213 -> 0.9305 (+/-0.0031) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 21:14:26.965211 -> 0.9305 (+/-0.0031) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 21:14:26.966208 -> 0.9789 (+/-0.0117) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 21:14:26.966208 -> 0.9305 (+/-0.0031) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 21:14:26.967206 -> 0.9766 (+/-0.011) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 21:14:26.968202 -> 0.9305 (+/-0.0031) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 21:14:26.969200 -> 0.9906 (+/-0.0038) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 21:14:26.970197 -> 0.9305 (+/-0.0031) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 21:14:26.971195 -> 0.9781 (+/-0.0106) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 21:14:26.972192 -> 0.9305 (+/-0.0031) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 21:14:26.972192 -> 0.9906 (+/-0.0038) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-19 21:14:26.973189 -> 0.9305 (+/-0.0031) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-19 21:14:26.974186 -> 0.9906 (+/-0.0038) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-19 21:14:26.975184 -> 0.9305 (+/-0.0031) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-19 21:14:26.976181 -> BEST PARAMS for Logistic Regression: {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}

2023-09-19 21:14:26.979174 -> Train time for Logistic Regression: 0.06262132326761881 min
2023-09-19 21:14:26.980170 -> TRAINING: Naive Bayes
2023-09-19 21:14:27.308704 -> 0.9906 (+/-0.008) for {'var_smoothing': 1e-09}
2023-09-19 21:14:27.310704 -> 0.9906 (+/-0.008) for {'var_smoothing': 1e-08}
2023-09-19 21:14:27.311701 -> 0.9906 (+/-0.008) for {'var_smoothing': 1e-07}
2023-09-19 21:14:27.312696 -> 0.9875 (+/-0.0091) for {'var_smoothing': 1e-06}
2023-09-19 21:14:27.313696 -> 0.9781 (+/-0.0182) for {'var_smoothing': 1e-05}
2023-09-19 21:14:27.314693 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-09}

2023-09-19 21:14:27.319640 -> Train time for Naive Bayes: 0.005641873677571615 min
2023-09-19 21:14:27.320638 -> ----- Done training classifiers -----
2023-09-19 21:14:27.321635 -> 
 BENCHMARKING THE CLASSIFIERS
2023-09-19 21:14:27.322672 -> Order of importance: AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-09-19 21:14:27.519024 -> 
RF --  AUC: 0.998 / Recall: 1.0 / Precision: 0.9983 / F1-Score: 0.9992 / Accuracy: 0.9984 / Fall-out: 0.0
2023-09-19 21:14:27.520022 -> 0.998 & 1.0 & 0.9983 & 0.9992 & 0.9984 & 0.0
2023-09-19 21:14:27.630724 -> 
LR --  AUC: 0.9949 / Recall: 0.9933 / Precision: 0.9975 / F1-Score: 0.9954 / Accuracy: 0.9914 / Fall-out: 0.7272727272727273
2023-09-19 21:14:27.631722 -> 0.9949 & 0.9933 & 0.9975 & 0.9954 & 0.9914 & 0.7272727272727273
2023-09-19 21:14:27.718148 -> 
DT --  AUC: 0.9983 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / Fall-out: 0.3333333333333333
2023-09-19 21:14:27.718148 -> 0.9983 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.3333333333333333
2023-09-19 21:14:27.793377 -> 
NB --  AUC: 0.9777 / Recall: 0.9908 / Precision: 0.9975 / F1-Score: 0.9941 / Accuracy: 0.9891 / Fall-out: 0.7857142857142857
2023-09-19 21:14:27.794359 -> 0.9777 & 0.9908 & 0.9975 & 0.9941 & 0.9891 & 0.7857142857142857
2023-09-19 21:14:28.044620 -> 
SVM --  AUC: 0.9905 / Recall: 0.9966 / Precision: 0.9975 / F1-Score: 0.9971 / Accuracy: 0.9945 / Fall-out: 0.5714285714285714
2023-09-19 21:14:28.045619 -> 0.9905 & 0.9966 & 0.9975 & 0.9971 & 0.9945 & 0.5714285714285714
2023-09-20 19:07:02.177688 -> Reading data from CSV ...
2023-09-20 19:07:02.215378 -> Data cleaning completed. Removed 0 records.
2023-09-20 19:07:02.215378 -> 1831 records remaining.
2023-09-20 19:07:02.215378 -> SPLITTING DATA
2023-09-20 19:07:02.231000 -> SAVING DATA
2023-09-20 19:07:02.246620 -> ----- Done Splitting data -----
2023-09-20 19:07:02.277864 -> 
DATASET STATISTICS
2023-09-20 19:07:02.277864 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:07:02.293525 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:07:02.297377 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:07:02.297377 -> 

TRAINING CLASSIFIERS
2023-09-20 19:07:02.297377 -> TRAINING: Random Forest
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.177797 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.185972 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.185972 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.187640 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.189195 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.189195 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.189195 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.189195 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.189195 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.189195 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.194208 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.194350 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.195942 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.197098 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.198240 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.199376 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.200591 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.202052 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.202052 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.204023 -> 0.9969 (+/-0.0077) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.205170 -> 0.9961 (+/-0.0099) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.206953 -> 0.9969 (+/-0.0077) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.206953 -> 0.9961 (+/-0.0099) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.209260 -> 0.9953 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.210309 -> 0.9953 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.211781 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.212861 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.213369 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.213369 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.213369 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.213369 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.218028 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.219071 -> 0.993 (+/-0.0188) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.219071 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.221776 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.221776 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.223560 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.224822 -> 0.9945 (+/-0.0106) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.226419 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.227324 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.228500 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.229535 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.229535 -> 0.9945 (+/-0.0136) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.230990 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.230990 -> 0.9938 (+/-0.0161) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.232686 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.232686 -> 0.9961 (+/-0.0099) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.234364 -> 0.9969 (+/-0.0077) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.235562 -> 0.9961 (+/-0.0099) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.235810 -> 0.9961 (+/-0.0099) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.237443 -> 0.9961 (+/-0.0099) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.237443 -> 0.9961 (+/-0.0099) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.239173 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.240339 -> 0.9945 (+/-0.0136) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.241450 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.242497 -> 0.9945 (+/-0.0136) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.244234 -> 0.9945 (+/-0.0136) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.245312 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.245861 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.247725 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.247725 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.249206 -> 0.9945 (+/-0.0136) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.250282 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.251978 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.253247 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.253247 -> 0.9945 (+/-0.0136) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.254897 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.256797 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.257875 -> 0.9945 (+/-0.0136) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.258422 -> 0.9938 (+/-0.0161) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.260093 -> 0.9922 (+/-0.0178) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.261442 -> 0.9938 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.261442 -> 0.9953 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.261442 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.271382 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.271382 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.272908 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.272908 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.272908 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.272908 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.272908 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.272908 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.272908 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.279419 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.279419 -> 0.9961 (+/-0.0099) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.287598 -> 0.9961 (+/-0.0099) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.289151 -> 0.9953 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.289151 -> 0.9945 (+/-0.0136) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.289151 -> 0.9961 (+/-0.0099) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.289151 -> 0.9969 (+/-0.0077) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.289151 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.293112 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.293112 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.295760 -> 0.9945 (+/-0.0136) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.295760 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.295760 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.295760 -> 0.9945 (+/-0.0136) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.295760 -> 0.9938 (+/-0.0161) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.295760 -> 0.9945 (+/-0.0136) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.301078 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.301078 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.301078 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.304232 -> 0.9945 (+/-0.0106) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.304232 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.305695 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.306205 -> 0.993 (+/-0.0151) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.306205 -> 0.9945 (+/-0.0136) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.306205 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.306205 -> 0.9945 (+/-0.0106) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.306205 -> 0.9938 (+/-0.0161) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.306205 -> 0.9945 (+/-0.0136) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.306205 -> 0.9969 (+/-0.0077) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.306205 -> 0.9953 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.306205 -> 0.9969 (+/-0.0077) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.315316 -> 0.9953 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.315800 -> 0.9961 (+/-0.0099) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.316851 -> 0.9961 (+/-0.0099) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.316851 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.319253 -> 0.9938 (+/-0.0161) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.319253 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.320611 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.321161 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.322880 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.322880 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.324095 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.325136 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.325136 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.327066 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.327615 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.328843 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.329390 -> 0.9945 (+/-0.0136) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.330467 -> 0.9945 (+/-0.0136) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.331520 -> 0.9945 (+/-0.0106) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.332066 -> 0.9938 (+/-0.0161) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.333889 -> 0.9938 (+/-0.0161) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.333889 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.335376 -> 0.9938 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.335926 -> 0.9953 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.337602 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.337602 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.338786 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.339825 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.339825 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.341701 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.341701 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.343463 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.344545 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.344545 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.346272 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.347303 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.347303 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.347303 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.347303 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.347303 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.352072 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.353149 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.353149 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.354674 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.354674 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.356301 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.357456 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.358001 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.359076 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.359624 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.361033 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.361581 -> 0.9961 (+/-0.0099) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.362641 -> 0.9961 (+/-0.0099) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.362641 -> 0.9969 (+/-0.0077) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.364525 -> 0.9961 (+/-0.0099) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.365083 -> 0.9961 (+/-0.0099) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.366120 -> 0.9953 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.366807 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.367996 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.369038 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.369038 -> 0.9938 (+/-0.0161) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.371075 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.371075 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.372771 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.373746 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.373746 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.375452 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.376686 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.376686 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.378597 -> 0.9938 (+/-0.0161) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.378597 -> 0.9938 (+/-0.0161) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.380359 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.380906 -> 0.9938 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.382210 -> 0.9938 (+/-0.0161) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.382210 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.383978 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.383978 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.385867 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.386415 -> 0.9953 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.387566 -> 0.9961 (+/-0.0099) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.388732 -> 0.9969 (+/-0.0077) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.389837 -> 0.9953 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.389837 -> 0.9969 (+/-0.0077) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.391411 -> 0.9961 (+/-0.0099) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.391411 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.393785 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.393785 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.395783 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.397200 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.397200 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.398899 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.399445 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.401222 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.401222 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.403269 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.404359 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.404870 -> 0.993 (+/-0.0151) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.404870 -> 0.9938 (+/-0.0161) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.406945 -> 0.9945 (+/-0.0136) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.406945 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.409750 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.409750 -> 0.993 (+/-0.0151) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.411454 -> 0.9945 (+/-0.0106) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.412772 -> 0.9953 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.413314 -> 0.9938 (+/-0.0161) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.415094 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.415094 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.416473 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.418089 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.419123 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.429645 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.429645 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.429645 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.429645 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.429645 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.429645 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.429645 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.437795 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.437795 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.437795 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.437795 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.437795 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.437795 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.437795 -> 0.9953 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.437795 -> 0.9961 (+/-0.0099) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.437795 -> 0.9969 (+/-0.0077) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.447510 -> 0.9945 (+/-0.0153) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.447510 -> 0.9961 (+/-0.0099) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.449725 -> 0.9961 (+/-0.0099) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.450897 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.452147 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.452147 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.454213 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.455972 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.457217 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.458432 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.459466 -> 0.9938 (+/-0.0161) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.460010 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.461838 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.461838 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.463684 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.464977 -> 0.9945 (+/-0.0106) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.466169 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.467922 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.467922 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.469542 -> 0.993 (+/-0.0151) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.471178 -> 0.9938 (+/-0.0161) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.471178 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.471178 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.471178 -> 0.9938 (+/-0.0161) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.471178 -> 0.9961 (+/-0.0099) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.475505 -> 0.9953 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.475505 -> 0.9969 (+/-0.0077) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.477396 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.478127 -> 0.9961 (+/-0.0099) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.479242 -> 0.9961 (+/-0.0099) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.479242 -> 0.9938 (+/-0.0161) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.479242 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.479242 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.479242 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.484765 -> 0.9938 (+/-0.0161) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.486131 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.486672 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.488156 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.488156 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.488156 -> 0.9945 (+/-0.0106) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.492090 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.492639 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.492639 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-20 19:13:48.495444 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-20 19:13:48.496602 -> 0.9953 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-20 19:13:48.497918 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-20 19:13:48.499320 -> 0.993 (+/-0.0151) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-20 19:13:48.499868 -> 0.9945 (+/-0.0136) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-20 19:13:48.501388 -> 0.9938 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-20 19:13:48.501388 -> 0.9938 (+/-0.0161) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-20 19:13:48.504537 -> 0.9938 (+/-0.0161) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-20 19:13:48.504537 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}

2023-09-20 19:13:48.564959 -> Train time for Random Forrest: 6.771126369635264 min
2023-09-20 19:13:48.564959 -> TRAINING: Decision Tree
2023-09-20 19:14:01.052815 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.052815 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.060780 -> 0.9953 (+/-0.0125) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.060780 -> 0.9945 (+/-0.0117) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.060780 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.063998 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.064504 -> 0.9922 (+/-0.0178) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.064504 -> 0.9922 (+/-0.0242) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.064504 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.064504 -> 0.993 (+/-0.0174) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.064504 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.069012 -> 0.9938 (+/-0.0161) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.069012 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.069012 -> 0.9875 (+/-0.0254) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.069012 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.069012 -> 0.9906 (+/-0.0235) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.069012 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.069012 -> 0.9922 (+/-0.0131) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.069012 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.069012 -> 0.9922 (+/-0.0164) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.077062 -> 0.9953 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.077062 -> 0.9953 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.077062 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.077062 -> 0.9938 (+/-0.0161) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.077062 -> 0.993 (+/-0.0174) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.077062 -> 0.9922 (+/-0.0164) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.077062 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.077062 -> 0.9906 (+/-0.0201) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.077062 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.077062 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.085557 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.085557 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.087226 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.088816 -> 0.9922 (+/-0.0131) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.088816 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.088816 -> 0.9922 (+/-0.0178) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.088816 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.088816 -> 0.993 (+/-0.0174) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.093862 -> 0.9953 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.093862 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.093862 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.093862 -> 0.9922 (+/-0.0204) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.093862 -> 0.9922 (+/-0.0178) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.093862 -> 0.9883 (+/-0.0242) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.098707 -> 0.993 (+/-0.0174) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.098707 -> 0.9891 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.103163 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.103163 -> 0.9914 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.104771 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.104771 -> 0.9922 (+/-0.0178) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.104771 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.104771 -> 0.9938 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.104771 -> 0.9938 (+/-0.0182) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.104771 -> 0.9883 (+/-0.0261) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.104771 -> 0.9953 (+/-0.0151) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.104771 -> 0.993 (+/-0.0174) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.109780 -> 0.9961 (+/-0.0121) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.109780 -> 0.9945 (+/-0.0136) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.109780 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.109780 -> 0.9922 (+/-0.0148) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.109780 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.109780 -> 0.9914 (+/-0.0244) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.109780 -> 0.9922 (+/-0.0178) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.109780 -> 0.9945 (+/-0.0153) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.109780 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.114564 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.114564 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.114564 -> 0.9922 (+/-0.0242) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.114564 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.116881 -> 0.9875 (+/-0.0254) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.117424 -> 0.993 (+/-0.0188) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.117424 -> 0.9906 (+/-0.0235) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.117424 -> 0.9953 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.117424 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.117424 -> 0.9969 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.117424 -> 0.9922 (+/-0.0148) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.117424 -> 0.9938 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.117424 -> 0.9945 (+/-0.0153) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.117424 -> 0.9914 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.117424 -> 0.9922 (+/-0.0178) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.117424 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.124630 -> 0.9891 (+/-0.0181) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.125678 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.125678 -> 0.9922 (+/-0.0178) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.125678 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.125678 -> 0.9828 (+/-0.0391) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.125678 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.125678 -> 0.9906 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.129884 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.130427 -> 0.9914 (+/-0.0174) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.131586 -> 0.9953 (+/-0.0151) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.131586 -> 0.9945 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.131586 -> 0.9961 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.134096 -> 0.9945 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.134096 -> 0.9945 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.134096 -> 0.9945 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.134096 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.134096 -> 0.9906 (+/-0.0235) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.134096 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.134096 -> 0.9906 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.139957 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.139957 -> 0.9922 (+/-0.0178) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.139957 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.142495 -> 0.9953 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.142495 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.142495 -> 0.9891 (+/-0.0077) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.142495 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.142495 -> 0.9953 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.142495 -> 0.9945 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.142495 -> 0.9945 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.142495 -> 0.9953 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.142495 -> 0.9953 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.150500 -> 0.9938 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.150500 -> 0.9961 (+/-0.0121) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.152042 -> 0.993 (+/-0.0174) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.152590 -> 0.9922 (+/-0.0215) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.153664 -> 0.9922 (+/-0.0178) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.154208 -> 0.9922 (+/-0.0198) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.154208 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.154208 -> 0.9922 (+/-0.0178) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.154208 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.154208 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.158713 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.158713 -> 0.993 (+/-0.0174) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.158713 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.161006 -> 0.9891 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.161006 -> 0.9945 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.161006 -> 0.9953 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.161006 -> 0.9961 (+/-0.0121) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.161006 -> 0.9945 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.161006 -> 0.9945 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.166066 -> 0.9953 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.167078 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.167078 -> 0.9883 (+/-0.0296) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.168591 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.169143 -> 0.9938 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.169143 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.169143 -> 0.993 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.169143 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.169143 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.169143 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.169143 -> 0.9906 (+/-0.0127) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.175194 -> 0.9938 (+/-0.0182) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.175194 -> 0.9844 (+/-0.0373) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.175194 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.175194 -> 0.993 (+/-0.0212) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.175194 -> 0.9969 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.180590 -> 0.9945 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.180590 -> 0.9938 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.183600 -> 0.9938 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.184617 -> 0.9922 (+/-0.0178) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.184617 -> 0.9922 (+/-0.0178) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.184617 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.184617 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.184617 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.184617 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.184617 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.184617 -> 0.9922 (+/-0.0178) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.184617 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.191625 -> 0.982 (+/-0.0412) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.191625 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.191625 -> 0.9898 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.191625 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.191625 -> 0.993 (+/-0.0212) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.191625 -> 0.9961 (+/-0.0121) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.191625 -> 0.9938 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.191625 -> 0.9945 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.191625 -> 0.9938 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.199631 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.199631 -> 0.9813 (+/-0.0229) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.199631 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.199631 -> 0.9945 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.199631 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.199631 -> 0.9906 (+/-0.0235) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.199631 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.199631 -> 0.9914 (+/-0.0174) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.199631 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.207631 -> 0.9891 (+/-0.0181) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.207631 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.207631 -> 0.9922 (+/-0.0178) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.207631 -> 0.9945 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.207631 -> 0.9945 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.207631 -> 0.9953 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.207631 -> 0.9953 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.207631 -> 0.9945 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.207631 -> 0.9945 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.215632 -> 0.993 (+/-0.0174) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.215632 -> 0.9891 (+/-0.0286) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.215632 -> 0.9922 (+/-0.0178) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.215632 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.215632 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.215632 -> 0.9914 (+/-0.0244) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.215632 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.215632 -> 0.9938 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.215632 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.223631 -> 0.993 (+/-0.0174) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.223631 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.223631 -> 0.9922 (+/-0.0178) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.223631 -> 0.9953 (+/-0.0151) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.223631 -> 0.9922 (+/-0.0204) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.223631 -> 0.9969 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.223631 -> 0.9922 (+/-0.0164) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.223631 -> 0.9938 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.223631 -> 0.9945 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.223631 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.231632 -> 0.9898 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.231632 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.231632 -> 0.9898 (+/-0.0264) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.231632 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.231632 -> 0.9867 (+/-0.025) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.231632 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-20 19:14:01.231632 -> 0.993 (+/-0.0174) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-20 19:14:01.231632 -> 0.993 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-20 19:14:01.231632 -> 0.9938 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-20 19:14:01.239631 -> 0.9938 (+/-0.0182) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-20 19:14:01.239631 -> 0.9906 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-20 19:14:01.239631 -> BEST PARAMS for Decision Tree: {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}

2023-09-20 19:14:01.239631 -> Train time for Decision Tree: 0.21124452749888104 min
2023-09-20 19:14:01.239631 -> TRAINING: Support Vector Machine
2023-09-20 19:14:13.124730 -> 0.9235 (+/-0.0235) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9368 (+/-0.0029) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9368 (+/-0.0029) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9922 (+/-0.0131) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9313 (+/-0.0079) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9898 (+/-0.0127) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9188 (+/-0.0174) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9953 (+/-0.0115) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9149 (+/-0.0233) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9368 (+/-0.0029) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.929 (+/-0.006) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9938 (+/-0.0153) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9016 (+/-0.0345) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.993 (+/-0.0143) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.8813 (+/-0.026) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.124730 -> 0.9953 (+/-0.0115) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.140353 -> 0.9141 (+/-0.0236) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.140353 -> 0.9368 (+/-0.0029) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.140353 -> 0.9165 (+/-0.0226) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.140353 -> 0.993 (+/-0.0151) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.140353 -> 0.8751 (+/-0.0262) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.140353 -> 0.9922 (+/-0.0178) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.140353 -> 0.879 (+/-0.0285) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-20 19:14:13.140353 -> 0.9953 (+/-0.0115) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-20 19:14:13.140353 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}

2023-09-20 19:14:13.140353 -> Train time for Support Vector Machine: 0.1983453631401062 min
2023-09-20 19:14:13.140353 -> TRAINING: Logistic Regression
2023-09-20 19:14:16.854647 -> 0.8712 (+/-0.0345) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-20 19:14:16.854647 -> 0.9368 (+/-0.0029) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-20 19:14:16.854647 -> 0.9368 (+/-0.0029) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-20 19:14:16.863607 -> 0.9368 (+/-0.0029) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-20 19:14:16.863607 -> 0.9368 (+/-0.0029) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-20 19:14:16.865358 -> 0.9368 (+/-0.0029) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-20 19:14:16.865358 -> 0.9368 (+/-0.0029) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-20 19:14:16.865358 -> 0.9368 (+/-0.0029) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-20 19:14:16.867956 -> 0.9352 (+/-0.0037) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-20 19:14:16.867956 -> 0.9368 (+/-0.0029) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-20 19:14:16.869600 -> 0.9368 (+/-0.0029) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-20 19:14:16.870649 -> 0.9368 (+/-0.0029) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-20 19:14:16.871697 -> 0.9828 (+/-0.0219) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-20 19:14:16.871697 -> 0.9368 (+/-0.0029) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-20 19:14:16.873052 -> 0.9789 (+/-0.0189) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-20 19:14:16.873052 -> 0.9368 (+/-0.0029) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-20 19:14:16.874740 -> 0.993 (+/-0.0134) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-20 19:14:16.875289 -> 0.9368 (+/-0.0029) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-20 19:14:16.876322 -> 0.9828 (+/-0.0219) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-20 19:14:16.876322 -> 0.9368 (+/-0.0029) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-20 19:14:16.878020 -> 0.993 (+/-0.0134) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-20 19:14:16.878566 -> 0.9368 (+/-0.0029) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-20 19:14:16.879639 -> 0.9938 (+/-0.0145) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-20 19:14:16.880187 -> 0.9368 (+/-0.0029) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-20 19:14:16.881237 -> BEST PARAMS for Logistic Regression: {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}

2023-09-20 19:14:16.886526 -> Train time for Logistic Regression: 0.06243622303009033 min
2023-09-20 19:14:16.886526 -> TRAINING: Naive Bayes
2023-09-20 19:14:17.202670 -> 0.8674 (+/-0.2902) for {'var_smoothing': 1e-09}
2023-09-20 19:14:17.202670 -> 0.9906 (+/-0.0127) for {'var_smoothing': 1e-08}
2023-09-20 19:14:17.202670 -> 0.9875 (+/-0.0152) for {'var_smoothing': 1e-07}
2023-09-20 19:14:17.213316 -> 0.982 (+/-0.0145) for {'var_smoothing': 1e-06}
2023-09-20 19:14:17.214422 -> 0.9727 (+/-0.0131) for {'var_smoothing': 1e-05}
2023-09-20 19:14:17.214422 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-08}

2023-09-20 19:14:17.217936 -> Train time for Naive Bayes: 0.005523486932118734 min
2023-09-20 19:14:17.217936 -> ----- Done training classifiers -----
2023-09-20 19:14:17.220932 -> 
 BENCHMARKING THE CLASSIFIERS
2023-09-20 19:14:17.221439 -> Order of importance: AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-09-20 19:14:17.472742 -> 
RF --  AUC: 0.9993 / Recall: 1.0 / Precision: 0.9992 / F1-Score: 0.9996 / Accuracy: 0.9992 / Fall-out: 0.0
2023-09-20 19:14:17.472742 -> 0.9993 & 1.0 & 0.9992 & 0.9996 & 0.9992 & 0.0
2023-09-20 19:14:17.558022 -> 
LR --  AUC: 0.9952 / Recall: 0.9958 / Precision: 0.9983 / F1-Score: 0.9971 / Accuracy: 0.9945 / Fall-out: 0.7142857142857143
2023-09-20 19:14:17.573686 -> 0.9952 & 0.9958 & 0.9983 & 0.9971 & 0.9945 & 0.7142857142857143
2023-09-20 19:14:17.651634 -> 
DT --  AUC: 0.9996 / Recall: 1.0 / Precision: 0.9992 / F1-Score: 0.9996 / Accuracy: 0.9992 / Fall-out: 0.0
2023-09-20 19:14:17.651634 -> 0.9996 & 1.0 & 0.9992 & 0.9996 & 0.9992 & 0.0
2023-09-20 19:14:17.736294 -> 
NB --  AUC: 0.9766 / Recall: 0.9767 / Precision: 0.9966 / F1-Score: 0.9865 / Accuracy: 0.975 / Fall-out: 0.875
2023-09-20 19:14:17.737653 -> 0.9766 & 0.9767 & 0.9966 & 0.9865 & 0.975 & 0.875
2023-09-20 19:14:18.018443 -> 
SVM --  AUC: 0.989 / Recall: 0.9983 / Precision: 0.9967 / F1-Score: 0.9975 / Accuracy: 0.9953 / Fall-out: 0.3333333333333333
2023-09-20 19:14:18.018443 -> 0.989 & 0.9983 & 0.9967 & 0.9975 & 0.9953 & 0.3333333333333333
2023-09-20 19:39:57.794793 -> 
DATASET STATISTICS
2023-09-20 19:39:57.797785 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:39:57.799779 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:39:57.801923 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:39:57.802922 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-09-20 19:39:57.877717 -> 
RF --  AUC: 0.9773 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:39:57.878714 -> 0.9773 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:39:57.898660 -> 
DT --  AUC: 0.9779 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:39:57.899658 -> 0.9779 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:39:57.942543 -> 
SVM --  AUC: 0.98 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:39:57.943541 -> 0.98 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:45:37.013430 -> 
DATASET STATISTICS
2023-09-20 19:45:37.014426 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:45:37.016422 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:45:37.017419 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:45:37.017419 -> 
 TESTING WITH THE BEST MODEL... 

2023-09-20 19:45:37.062022 -> 
SVM --  AUC: 0.9895 / Recall: 0.9877 / Precision: 1.0 / F1-Score: 0.9938 / Accuracy: 0.9891 / Fall-out: 1.0
2023-09-20 19:45:37.062022 -> 0.9895 & 0.9877 & 1.0 & 0.9938 & 0.9891 & 1.0
2023-09-20 19:46:44.376342 -> 
DATASET STATISTICS
2023-09-20 19:46:44.378337 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:46:44.380332 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:46:44.382327 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:46:44.383323 -> 
 TESTING WITH THE BEST MODEL... 

2023-09-20 19:46:44.454133 -> 
SVM --  AUC: 0.9895 / Recall: 0.9877 / Precision: 1.0 / F1-Score: 0.9938 / Accuracy: 0.9891 / Fall-out: 1.0
2023-09-20 19:46:44.455131 -> 0.9895 & 0.9877 & 1.0 & 0.9938 & 0.9891 & 1.0
2023-09-20 19:47:33.187038 -> 
DATASET STATISTICS
2023-09-20 19:47:33.189033 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:47:33.191026 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:47:33.193022 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:47:33.194019 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-09-20 19:47:33.273650 -> 
RF --  AUC: 0.9773 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:47:33.273650 -> 0.9773 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:47:33.295344 -> 
DT --  AUC: 0.9779 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:47:33.295344 -> 0.9779 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:47:33.338321 -> 
SVM --  AUC: 0.98 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:47:33.339318 -> 0.98 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:48:27.600519 -> 
DATASET STATISTICS
2023-09-20 19:48:27.602515 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:48:27.604510 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:48:27.606503 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:48:27.607501 -> 
 TESTING WITH THE BEST MODEL... 

2023-09-20 19:48:27.677314 -> 
SVM --  AUC: 0.9895 / Recall: 0.9877 / Precision: 1.0 / F1-Score: 0.9938 / Accuracy: 0.9891 / Fall-out: 1.0
2023-09-20 19:48:27.678311 -> 0.9895 & 0.9877 & 1.0 & 0.9938 & 0.9891 & 1.0
2023-09-20 19:57:43.452646 -> 
DATASET STATISTICS
2023-09-20 19:57:43.455643 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:57:43.456642 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:57:43.458595 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:57:43.458595 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-09-20 19:57:43.540308 -> 
RF --  AUC: 0.9773 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:57:43.541266 -> 0.9773 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:57:43.564180 -> 
DT --  AUC: 0.9779 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:57:43.565144 -> 0.9779 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:57:43.584948 -> 
LR --  AUC: 0.9838 / Recall: 0.996 / Precision: 0.996 / F1-Score: 0.996 / Accuracy: 0.9927 / Fall-out: 0.5
2023-09-20 19:57:43.585947 -> 0.9838 & 0.996 & 0.996 & 0.996 & 0.9927 & 0.5
2023-09-20 19:59:28.001524 -> 
DATASET STATISTICS
2023-09-20 19:59:28.004509 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:59:28.005507 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:59:28.007593 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:59:28.007593 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-09-20 19:59:28.093835 -> 
RF --  AUC: 0.9773 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:59:28.093835 -> 0.9773 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:59:28.117093 -> 
DT --  AUC: 0.9779 / Recall: 1.0 / Precision: 0.996 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 0.0
2023-09-20 19:59:28.118182 -> 0.9779 & 1.0 & 0.996 & 0.998 & 0.9964 & 0.0
2023-09-20 19:59:28.139987 -> 
LR --  AUC: 0.9838 / Recall: 0.996 / Precision: 0.996 / F1-Score: 0.996 / Accuracy: 0.9927 / Fall-out: 0.5
2023-09-20 19:59:28.139987 -> 0.9838 & 0.996 & 0.996 & 0.996 & 0.9927 & 0.5
2023-09-20 19:59:46.118725 -> 
DATASET STATISTICS
2023-09-20 19:59:46.121388 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 19:59:46.123085 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 19:59:46.125454 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 19:59:46.125454 -> 
 TESTING WITH THE BEST MODEL... 

2023-09-20 19:59:46.161190 -> 
DT --  AUC: 0.9791 / Recall: 0.9918 / Precision: 0.9959 / F1-Score: 0.9938 / Accuracy: 0.9891 / Fall-out: 0.6666666666666666
2023-09-20 19:59:46.162186 -> 0.9791 & 0.9918 & 0.9959 & 0.9938 & 0.9891 & 0.6666666666666666
2023-09-20 20:00:26.273778 -> 
DATASET STATISTICS
2023-09-20 20:00:26.277765 -> Train {'len': 1281, 'features': 7, 'count': label
M    1200
B      81
Name: count, dtype: int64}
2023-09-20 20:00:26.280757 -> Validation {'len': 275, 'features': 7, 'count': label
M    251
B     24
Name: count, dtype: int64}
2023-09-20 20:00:26.283750 -> Test {'len': 275, 'features': 7, 'count': label
M    243
B     32
Name: count, dtype: int64}
2023-09-20 20:00:26.284747 -> 
 TESTING WITH THE BEST MODEL... 

2023-09-20 20:00:26.400484 -> 
RF --  AUC: 0.9974 / Recall: 0.9959 / Precision: 0.9959 / F1-Score: 0.9959 / Accuracy: 0.9927 / Fall-out: 0.5
2023-09-20 20:00:26.402475 -> 0.9974 & 0.9959 & 0.9959 & 0.9959 & 0.9927 & 0.5
2023-09-27 21:09:21.898235 -> Reading data from CSV ...
2023-09-27 21:09:21.920272 -> Data cleaning completed. Removed 0 records.
2023-09-27 21:09:21.921248 -> 44 records remaining.
2023-09-27 21:09:21.921317 -> SPLITTING DATA
2023-09-27 21:09:21.925335 -> SAVING DATA
2023-09-27 21:09:21.935280 -> ----- Done Splitting data -----
2023-09-27 21:09:21.945413 -> 
DATASET STATISTICS
2023-09-27 21:09:21.948418 -> Train {'len': 30, 'features': 6, 'count': label
M    17
B    13
Name: count, dtype: int64}
2023-09-27 21:09:21.949375 -> Validation {'len': 7, 'features': 6, 'count': label
B    5
M    2
Name: count, dtype: int64}
2023-09-27 21:09:21.950419 -> Test {'len': 7, 'features': 6, 'count': label
B    5
M    2
Name: count, dtype: int64}
2023-09-27 21:09:21.950419 -> 

TRAINING CLASSIFIERS
2023-09-27 21:09:21.951459 -> TRAINING: Random Forest
2023-09-27 21:11:45.096220 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.096220 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.097229 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.097229 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.098217 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.098217 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.098217 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.099214 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.100212 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.100328 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.100328 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.101351 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.101351 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.102326 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.102326 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.103304 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.103304 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.103304 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.104341 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.104341 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.105316 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.105316 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.106295 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.106295 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.106295 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.107331 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.107331 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.108309 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.108309 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.109287 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.109287 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.109287 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.110284 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.110284 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.111281 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.111281 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.112280 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.112280 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.112280 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.113305 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.113305 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.114273 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.114273 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.115271 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.115271 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.116268 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.116268 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.117280 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.117280 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.118508 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.118508 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.119545 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.119545 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.119545 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.120573 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.120573 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.121541 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.121541 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.122538 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.122538 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.123535 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.123535 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.123535 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.124566 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.124566 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.124566 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.125597 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.125597 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.126564 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.126564 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.126564 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.127562 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.127562 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.127562 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.128641 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.128641 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.128641 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.129686 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.129686 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.130637 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.130637 -> 0.9667 (+/-0.1333) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.130637 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.131655 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.131655 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.132630 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.132630 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.133629 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.133629 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.134651 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.134723 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.134723 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.135735 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.135735 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.136717 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.136717 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.136717 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.137714 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.137714 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.138712 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.138712 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.139709 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.139709 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.140213 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.140213 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.141213 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.141213 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.142213 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.142213 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.143207 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.143207 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.143207 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.144217 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.144217 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.145203 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.145203 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.145203 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.146268 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.146268 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.147263 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.147263 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.147263 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.148303 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.148303 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.149258 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.149258 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.150255 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.150255 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.150255 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.151335 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.151335 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.152356 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.152356 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.153380 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.153380 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.153380 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.154393 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.154393 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.155347 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.155347 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.156344 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.156416 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.156416 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.157426 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.157426 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.158432 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.158432 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.158432 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.159407 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.159407 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.160405 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.160405 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.161403 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.161403 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.161403 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.162400 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.162400 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.163397 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.163397 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.164395 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.164395 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.165433 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.165433 -> 0.9667 (+/-0.1333) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.166420 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.166420 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.167387 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.167387 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.167387 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.168510 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.168510 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.169521 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.169521 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.170505 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.170505 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.170505 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.171504 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.171504 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.172500 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.172500 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.172500 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.173503 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.173503 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.173503 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.174616 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.174616 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.175615 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.175615 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.175615 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.176613 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.176613 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.176613 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.177618 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.177618 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.177618 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.178634 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.178634 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.179604 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.179604 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.180601 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.180655 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.181731 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.181731 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.182700 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.182700 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.183729 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.183729 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.184725 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.184725 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.185875 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.185875 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.186904 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.186904 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.186904 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.187871 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.187871 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.188900 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.188900 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.188900 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.189864 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.189864 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.190862 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.190862 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.190862 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.191922 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.191922 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.191922 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.192950 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.192950 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.193924 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.193924 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.193924 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.194946 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.194946 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.195912 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.195912 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.195912 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.197008 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.197008 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.197008 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.198057 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.198057 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.199021 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.199021 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.200018 -> 0.9667 (+/-0.1333) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.200018 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.200018 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.201029 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.201029 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.202014 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.202014 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.202014 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.203048 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.203048 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.204009 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.204009 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.204009 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.207066 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.207066 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.207998 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.207998 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.208994 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.208994 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.208994 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.209992 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.209992 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.210989 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.210989 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.210989 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.211986 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.211986 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.212984 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.212984 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.213981 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.213981 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.213981 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.214978 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.214978 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.215975 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.215975 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.216980 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.217972 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.219045 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.219045 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.219045 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.220124 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.220124 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.221083 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.221083 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.222079 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.222079 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.223077 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.223077 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.223077 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.224152 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.224152 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.224152 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.225211 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.225211 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.226170 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.226170 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.226170 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.227169 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.227169 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.228165 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.228165 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.228165 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.229162 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.229162 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.229162 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.230163 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.230163 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.231156 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.231156 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.231156 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.232163 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.232163 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.233152 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:11:45.233152 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:11:45.233152 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:11:45.234230 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:11:45.234230 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:11:45.235228 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:11:45.235228 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:11:45.235228 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:11:45.236226 -> 0.9667 (+/-0.1333) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:11:45.236226 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}

2023-09-27 21:11:45.256185 -> Train time for Random Forrest: 2.388412102063497 min
2023-09-27 21:11:45.257154 -> TRAINING: Decision Tree
2023-09-27 21:11:50.298364 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.299324 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.299324 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.300322 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.300322 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.301319 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.301319 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.302316 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.302316 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.302316 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.303328 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.303328 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.303328 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.304311 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.304311 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.305321 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.305321 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.306305 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.306305 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.306305 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.307305 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.307305 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.308315 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.308315 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.309297 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.309297 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.309297 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.310308 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.310308 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.310308 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.311321 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.311321 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.312289 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.312289 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.312289 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.313318 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.313318 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.314287 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.314287 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.314287 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.315280 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.315280 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.316278 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.316278 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.316278 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.317355 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.317355 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.318352 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.318352 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.318352 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.319351 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.319351 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.320381 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.320381 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.320381 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.321347 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.321347 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.321347 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.322447 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.322447 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.323455 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.323455 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.323455 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.324442 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.324442 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.325440 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.325440 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.325440 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.326438 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.326438 -> 0.9333 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.327435 -> 0.9667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.327435 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.328435 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.328435 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.328435 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.329429 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.329429 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.330426 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.330426 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.331426 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.331426 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.332427 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.332427 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.333426 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.333426 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.334525 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.334525 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.335578 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.336564 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.336564 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.337562 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.337562 -> 0.8333 (+/-0.2981) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.338559 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.338559 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.339632 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.339632 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.340632 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.340632 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.341628 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.341628 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.341628 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.342644 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.342644 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.343622 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.343622 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.344620 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.344620 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.345709 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.346269 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.346269 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.347271 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.347271 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.347271 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.348268 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.349266 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.349266 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.351260 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.351364 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.352411 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.353437 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.353437 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.354419 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.354419 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.355401 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.355401 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.355401 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.356399 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.356399 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.357394 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.357394 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.357394 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.358392 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.358392 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.359389 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.359389 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.360395 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.360395 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.361385 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.362381 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.362547 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.362547 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.363607 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.364591 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.364591 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.364591 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.365589 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.366587 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.367685 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.368683 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.368683 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.369680 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.369680 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.370677 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.370677 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.371674 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.371674 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.371674 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.372671 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.372671 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.373763 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.373763 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.374809 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.375805 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.375805 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.375805 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.376800 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.376800 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.377814 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.377814 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.378797 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.378797 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.379794 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.379794 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.380789 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.380789 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.381790 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.381790 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.382784 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.383788 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.383788 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.384783 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.385780 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.385780 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.386776 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.386776 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.386776 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.387773 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.387773 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.388770 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.388770 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.389778 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.389778 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.390766 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.390766 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.391761 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.391761 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.391761 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.392788 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.392788 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.393755 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.393755 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.394753 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.394753 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.395853 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.395853 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.396852 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.396852 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.397849 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.397849 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.398850 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.399878 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:11:50.399878 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:11:50.400845 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:11:50.401978 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:11:50.401978 -> 0.9667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:11:50.403011 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:11:50.403011 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}

2023-09-27 21:11:50.407088 -> Train time for Decision Tree: 0.08583223025004069 min
2023-09-27 21:11:50.408108 -> TRAINING: Support Vector Machine
2023-09-27 21:11:51.147166 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.147166 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.148166 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.148166 -> 0.6333 (+/-0.3887) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.149165 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.150286 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.151284 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.152279 -> 0.7333 (+/-0.4522) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.153285 -> 0.3333 (+/-0.4216) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.154274 -> 0.5667 (+/-0.4522) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.155271 -> 0.5 (+/-0.2108) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.155271 -> 0.9667 (+/-0.1333) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.156269 -> 0.3333 (+/-0.4216) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.156269 -> 0.9667 (+/-0.1333) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.157267 -> 0.5667 (+/-0.1633) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.157267 -> 0.9333 (+/-0.1633) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.158266 -> 0.3 (+/-0.3266) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.158266 -> 0.8333 (+/-0.2108) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.159262 -> 0.4333 (+/-0.1633) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.159262 -> 0.9333 (+/-0.1633) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.160259 -> 0.5333 (+/-0.3266) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.160259 -> 0.9333 (+/-0.1633) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.161257 -> 0.5333 (+/-0.1333) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:11:51.161257 -> 0.9333 (+/-0.1633) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:11:51.162354 -> BEST PARAMS for Support Vector Machine: {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}

2023-09-27 21:11:51.167351 -> Train time for Support Vector Machine: 0.01265405019124349 min
2023-09-27 21:11:51.168339 -> TRAINING: Logistic Regression
2023-09-27 21:11:51.865129 -> 0.4333 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:11:51.865129 -> 0.5667 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:11:51.866090 -> 0.5333 (+/-0.1333) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:11:51.866090 -> 0.5333 (+/-0.1333) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:11:51.867135 -> 0.4333 (+/-0.1633) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:11:51.868088 -> 0.5667 (+/-0.1633) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:11:51.868088 -> 0.5667 (+/-0.1633) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:11:51.869187 -> 0.5667 (+/-0.1633) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:11:51.869187 -> 0.5333 (+/-0.2494) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:11:51.870226 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:11:51.870226 -> 0.9333 (+/-0.1633) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:11:51.871254 -> 0.7333 (+/-0.3399) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:11:51.871254 -> 0.9667 (+/-0.1333) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:11:51.872216 -> 0.7333 (+/-0.3399) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:11:51.872216 -> 0.9333 (+/-0.1633) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:11:51.873215 -> 0.8333 (+/-0.2981) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:11:51.873215 -> 0.9333 (+/-0.1633) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:11:51.873215 -> 0.8333 (+/-0.2981) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:11:51.874211 -> 0.9333 (+/-0.1633) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:11:51.874211 -> 0.8333 (+/-0.2981) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:11:51.875210 -> 0.9333 (+/-0.1633) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:11:51.875210 -> 0.8333 (+/-0.2981) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:11:51.875210 -> 0.9333 (+/-0.1633) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:11:51.876211 -> 0.8333 (+/-0.2981) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:11:51.876211 -> BEST PARAMS for Logistic Regression: {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}

2023-09-27 21:11:51.881193 -> Train time for Logistic Regression: 0.011880898475646972 min
2023-09-27 21:11:51.882190 -> TRAINING: Naive Bayes
2023-09-27 21:11:52.034423 -> 0.8667 (+/-0.1333) for {'var_smoothing': 1e-09}
2023-09-27 21:11:52.035417 -> 0.9 (+/-0.1633) for {'var_smoothing': 1e-08}
2023-09-27 21:11:52.035417 -> 0.9333 (+/-0.1633) for {'var_smoothing': 1e-07}
2023-09-27 21:11:52.036414 -> 0.9333 (+/-0.1633) for {'var_smoothing': 1e-06}
2023-09-27 21:11:52.037411 -> 0.9667 (+/-0.1333) for {'var_smoothing': 1e-05}
2023-09-27 21:11:52.037411 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-05}

2023-09-27 21:11:52.040487 -> Train time for Naive Bayes: 0.0026203076044718425 min
2023-09-27 21:11:52.040487 -> ----- Done training classifiers -----
2023-09-27 21:11:52.041488 -> 
 BENCHMARKING THE CLASSIFIERS
2023-09-27 21:11:52.041488 -> Order of importance: AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-09-27 21:11:52.094851 -> 
RF --  AUC: 0.9977 / Recall: 1.0 / Precision: 0.9444 / F1-Score: 0.9714 / Accuracy: 0.9667 / Fall-out: 0.0
2023-09-27 21:11:52.095848 -> 0.9977 & 1.0 & 0.9444 & 0.9714 & 0.9667 & 0.0
2023-09-27 21:11:52.118787 -> 
LR --  AUC: 0.9977 / Recall: 0.9412 / Precision: 1.0 / F1-Score: 0.9697 / Accuracy: 0.9667 / Fall-out: 1.0
2023-09-27 21:11:52.118787 -> 0.9977 & 0.9412 & 1.0 & 0.9697 & 0.9667 & 1.0
2023-09-27 21:11:52.135745 -> 
DT --  AUC: 0.9977 / Recall: 0.9412 / Precision: 1.0 / F1-Score: 0.9697 / Accuracy: 0.9667 / Fall-out: 1.0
2023-09-27 21:11:52.135745 -> 0.9977 & 0.9412 & 1.0 & 0.9697 & 0.9667 & 1.0
2023-09-27 21:11:52.151214 -> 
NB --  AUC: 0.9932 / Recall: 1.0 / Precision: 0.9444 / F1-Score: 0.9714 / Accuracy: 0.9667 / Fall-out: 0.0
2023-09-27 21:11:52.151214 -> 0.9932 & 1.0 & 0.9444 & 0.9714 & 0.9667 & 0.0
2023-09-27 21:11:52.168171 -> 
SVM --  AUC: 0.9389 / Recall: 1.0 / Precision: 0.9444 / F1-Score: 0.9714 / Accuracy: 0.9667 / Fall-out: 0.0
2023-09-27 21:11:52.169166 -> 0.9389 & 1.0 & 0.9444 & 0.9714 & 0.9667 & 0.0
2023-09-27 21:45:52.017185 -> Reading data from CSV ...
2023-09-27 21:45:52.024170 -> Data cleaning completed. Removed 0 records.
2023-09-27 21:45:52.024170 -> 44 records remaining.
2023-09-27 21:45:52.024170 -> SPLITTING DATA
2023-09-27 21:45:52.027119 -> SAVING DATA
2023-09-27 21:45:52.035125 -> ----- Done Splitting data -----
2023-09-27 21:45:52.042035 -> 
DATASET STATISTICS
2023-09-27 21:45:52.043035 -> Train {'len': 30, 'features': 6, 'count': label
B    17
M    13
Name: count, dtype: int64}
2023-09-27 21:45:52.044033 -> Validation {'len': 7, 'features': 6, 'count': label
M    4
B    3
Name: count, dtype: int64}
2023-09-27 21:45:52.045030 -> Test {'len': 7, 'features': 6, 'count': label
M    4
B    3
Name: count, dtype: int64}
2023-09-27 21:45:52.045030 -> 

TRAINING CLASSIFIERS
2023-09-27 21:45:52.046026 -> TRAINING: Random Forest
2023-09-27 21:48:13.772546 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.773554 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.773554 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.774541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.774541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.774541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.775539 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.775539 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.776537 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.776537 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.777595 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.777595 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.777595 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.778628 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.778628 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.779591 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.779591 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.780599 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.780599 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.781585 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.781585 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.781585 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.782721 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.782721 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.782721 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.783805 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.783805 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.784769 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.784769 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.785758 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.785758 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.785758 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.786756 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.786756 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.787754 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.787754 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.788773 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.788773 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.788773 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.789769 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.789769 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.790745 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.790745 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.790745 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.791774 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.791774 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.792740 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.792740 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.792740 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.794001 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.794001 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.795030 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.795030 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.795030 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.795997 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.795997 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.796993 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.796993 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.798024 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.798024 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.798988 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.798988 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.798988 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.800156 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.800156 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.801153 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.801153 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.801153 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.802156 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.802156 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.803164 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.803164 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.803164 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.804180 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.804180 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.805146 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.805146 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.805146 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.806240 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.806240 -> 0.9333 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.807266 -> 0.9 (+/-0.1633) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.807266 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.807266 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.808277 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.808277 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.809269 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.809269 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.809269 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.810262 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.810262 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.811255 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.811255 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.811255 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.812251 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.812251 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.813250 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.813250 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.813250 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.814269 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.814269 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.815245 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.815245 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.815245 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.815245 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.816828 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.816828 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.817826 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.817826 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.817826 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.818826 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.818826 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.819820 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.819820 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.819820 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.820819 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.820819 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.821815 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.821815 -> 0.8667 (+/-0.2494) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.821815 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.822867 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.822867 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.823894 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.823894 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.823894 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.824899 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.824899 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.825888 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.825888 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.826886 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.826886 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.826886 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.828084 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.828084 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.829084 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.829084 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.829084 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.830107 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.830107 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.831076 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.831076 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.831076 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.832084 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.832084 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.833075 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.833075 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.833075 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.834149 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.834149 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.834149 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.835179 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.835179 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.836145 -> 0.9333 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.836145 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.836145 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.837176 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.837176 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.838138 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.838138 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.839136 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.839136 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.839136 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.840132 -> 0.9 (+/-0.1633) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.840132 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.840132 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.841159 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.841159 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.842128 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.842128 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.843125 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.843125 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.843125 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.844122 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.844122 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.845119 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.845119 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.845119 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.846116 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.846116 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.847114 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.847114 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.847114 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.848111 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.848111 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.849108 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.849108 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.849108 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.850106 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.850106 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.851103 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.851103 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.852101 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.852101 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.852101 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.853104 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.853104 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.854095 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.854095 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.854095 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.855092 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.855092 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.855092 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.856090 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.856090 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.857091 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.857091 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.858084 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.858084 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.858084 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.859082 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.859082 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.860079 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.860079 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.860079 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.861076 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.861076 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.862082 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.862082 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.862082 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.863071 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.863071 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.864069 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.864069 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.864069 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.865111 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.865111 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.866110 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.866110 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.867106 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.867106 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.867106 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.868103 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.868103 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.869167 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.869167 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.869167 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.870177 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.870177 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.871164 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.871164 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.871164 -> 0.9333 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.872161 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.872161 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.873158 -> 0.9 (+/-0.1633) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.873158 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.873158 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.874244 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.874244 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.875243 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.875243 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.875243 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.876242 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.876242 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.877238 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.877238 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.877238 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.878250 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.878250 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.879233 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.879233 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.879233 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.880317 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.880317 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.881316 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.881316 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.881316 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.882319 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.882319 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.883310 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.883310 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.883310 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.884322 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.884322 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.885308 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.885308 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.885308 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.886373 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.886373 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.887371 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.887371 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.887371 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.888379 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.888379 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.889366 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.889366 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.889366 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.890364 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.890364 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.890364 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.891360 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.891360 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.892359 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.892359 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.892359 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.893355 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.893355 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.894353 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.894353 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.895350 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.895350 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.895350 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.896348 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.896348 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.897345 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.897345 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.897345 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.898419 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.898419 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.899429 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.899429 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.899429 -> 0.8667 (+/-0.2494) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.900415 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.900415 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.901414 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.901414 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.902416 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.902416 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-09-27 21:48:13.903413 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-09-27 21:48:13.903413 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-09-27 21:48:13.903413 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-09-27 21:48:13.904417 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-09-27 21:48:13.904417 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-09-27 21:48:13.905411 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-09-27 21:48:13.905411 -> 0.9333 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-09-27 21:48:13.905411 -> 0.9 (+/-0.1633) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-09-27 21:48:13.906406 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}

2023-09-27 21:48:14.025214 -> Train time for Random Forrest: 2.366319803396861 min
2023-09-27 21:48:14.026183 -> TRAINING: Decision Tree
2023-09-27 21:48:17.868717 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.869762 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.869762 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.869762 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.870759 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.870759 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.871757 -> 0.8 (+/-0.3266) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.871757 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.871757 -> 0.8333 (+/-0.3651) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.872759 -> 0.8333 (+/-0.3651) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.872759 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.873807 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.873807 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.873807 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.874846 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.874846 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.875817 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.875817 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.876849 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.876849 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.876849 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.877844 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.877844 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.878990 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.878990 -> 0.8 (+/-0.3266) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.878990 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.880050 -> 0.8 (+/-0.3266) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.881014 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.881014 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.881014 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.882010 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.882010 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.883031 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.883031 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.883031 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.884028 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.884028 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.885004 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.885004 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.886023 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.886023 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.886023 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.887071 -> 0.8 (+/-0.3266) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.887071 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.887996 -> 0.8333 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.887996 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.887996 -> 0.8333 (+/-0.3651) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.889015 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.889015 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.889991 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.889991 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.890988 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.890988 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.890988 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.891984 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.891984 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.893004 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.893004 -> 0.8667 (+/-0.2494) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.893004 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.893980 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.893980 -> 0.8 (+/-0.3266) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.894999 -> 0.8333 (+/-0.2108) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.894999 -> 0.8 (+/-0.3266) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.894999 -> 0.8667 (+/-0.1333) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.895976 -> 0.8667 (+/-0.3887) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.895976 -> 0.9 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.896999 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.896999 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.896999 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.897968 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.897968 -> 0.9333 (+/-0.1633) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.898967 -> 0.9 (+/-0.2667) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.898967 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.898967 -> 0.9667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.899979 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.899979 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.900972 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.900972 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.900972 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.901985 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.901985 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.902956 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.902956 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.902956 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.903975 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.903975 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.904950 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.904950 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.905969 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.905969 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.905969 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.907069 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.907069 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.908089 -> 0.8 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.908089 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.908089 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.909067 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.909067 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.910074 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.910074 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.911059 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.911059 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.911059 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.912055 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.912055 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.913140 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.913140 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.913140 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.914181 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.914181 -> 0.8667 (+/-0.1333) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.914181 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.915207 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.915207 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.916176 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.916176 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.916176 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.917173 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.917173 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.917173 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.918171 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.918171 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.919190 -> 0.8 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.919190 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.919190 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.920173 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.920173 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.920173 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.920173 -> 0.8333 (+/-0.2108) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.921701 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.921701 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.922706 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.922706 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.922706 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.923803 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.923803 -> 0.8333 (+/-0.3651) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.924840 -> 0.8333 (+/-0.0) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.924840 -> 0.8667 (+/-0.3887) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.924840 -> 0.8667 (+/-0.2494) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.925859 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.925859 -> 0.9 (+/-0.2667) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.926835 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.926835 -> 0.9 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.926835 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.927854 -> 0.9333 (+/-0.1633) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.927854 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.928830 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.928830 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.928830 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.929849 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.929849 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.930825 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.930825 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.931854 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.931854 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.931854 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.932827 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.932827 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.933817 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.933817 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.933817 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.935005 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.935005 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.935005 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.936080 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.936080 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.937043 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.937043 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.937043 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.938075 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.938075 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.939038 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.939038 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.939038 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.940126 -> 0.8333 (+/-0.2108) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.940126 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.940126 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.941182 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.941182 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.942151 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.942151 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.942151 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.943148 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.943148 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.944146 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.944146 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.944146 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.945209 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.945209 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.945209 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.946228 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.946228 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.947204 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.947204 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.948201 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.948201 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.948201 -> 0.8667 (+/-0.2494) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.949211 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.949211 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.950198 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.950198 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.950198 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.951280 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.951280 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.952278 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.952278 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.952278 -> 0.8667 (+/-0.1333) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.953275 -> 0.8333 (+/-0.3651) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.953275 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.954272 -> 0.8667 (+/-0.3887) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.954272 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.955269 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-09-27 21:48:17.955269 -> 0.9 (+/-0.2667) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-09-27 21:48:17.956266 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-09-27 21:48:17.956266 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-09-27 21:48:17.956266 -> 0.9333 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-09-27 21:48:17.957339 -> 0.9 (+/-0.1633) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-09-27 21:48:17.957339 -> BEST PARAMS for Decision Tree: {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}

2023-09-27 21:48:17.959355 -> Train time for Decision Tree: 0.06555287837982178 min
2023-09-27 21:48:17.960353 -> TRAINING: Support Vector Machine
2023-09-27 21:48:18.475452 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.475452 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.476433 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.476433 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.477410 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.477410 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.477410 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.478446 -> 0.5667 (+/-0.1633) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.478446 -> 0.5667 (+/-0.1633) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.479404 -> 0.7667 (+/-0.2667) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.479404 -> 0.6 (+/-0.2667) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.480405 -> 0.9333 (+/-0.1633) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.480405 -> 0.6 (+/-0.2667) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.481448 -> 0.9333 (+/-0.1633) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.481448 -> 0.5667 (+/-0.1633) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.481448 -> 0.9333 (+/-0.1633) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.482462 -> 0.7667 (+/-0.2667) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.482462 -> 0.9 (+/-0.2667) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.483459 -> 0.6667 (+/-0.2108) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.483459 -> 0.9333 (+/-0.1633) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.484455 -> 0.6667 (+/-0.2108) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.484455 -> 0.9333 (+/-0.1633) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.484455 -> 0.5667 (+/-0.1633) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-09-27 21:48:18.485453 -> 0.9333 (+/-0.1633) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-09-27 21:48:18.485453 -> BEST PARAMS for Support Vector Machine: {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}

2023-09-27 21:48:18.488513 -> Train time for Support Vector Machine: 0.008802672227223715 min
2023-09-27 21:48:18.488513 -> TRAINING: Logistic Regression
2023-09-27 21:48:18.981936 -> 0.5667 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:48:18.982930 -> 0.5667 (+/-0.1633) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:48:18.982930 -> 0.4333 (+/-0.1633) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:48:18.983890 -> 0.4667 (+/-0.2494) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:48:18.983890 -> 0.5667 (+/-0.1633) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:48:18.983890 -> 0.5667 (+/-0.1633) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:48:18.984887 -> 0.8 (+/-0.3887) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:48:18.984887 -> 0.8333 (+/-0.3651) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:48:18.985885 -> 0.4667 (+/-0.1333) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:48:18.985885 -> 0.4667 (+/-0.3266) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:48:18.985885 -> 0.9667 (+/-0.1333) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:48:18.986963 -> 0.9333 (+/-0.1633) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:48:18.986963 -> 0.9333 (+/-0.1633) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:48:18.987999 -> 0.9333 (+/-0.1633) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:48:18.987999 -> 0.9333 (+/-0.1633) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:48:18.987999 -> 0.9333 (+/-0.1633) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:48:18.989031 -> 0.8667 (+/-0.2494) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:48:18.989031 -> 0.9333 (+/-0.1633) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:48:18.989994 -> 0.9 (+/-0.1633) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:48:18.989994 -> 0.9333 (+/-0.1633) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:48:18.989994 -> 0.8667 (+/-0.2494) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-09-27 21:48:18.991020 -> 0.9333 (+/-0.1633) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-09-27 21:48:18.991020 -> 0.8667 (+/-0.1333) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-09-27 21:48:18.991989 -> 0.9333 (+/-0.1633) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-09-27 21:48:18.991989 -> BEST PARAMS for Logistic Regression: {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}

2023-09-27 21:48:18.993987 -> Train time for Logistic Regression: 0.008407882849375407 min
2023-09-27 21:48:18.993987 -> TRAINING: Naive Bayes
2023-09-27 21:48:19.085071 -> 0.8667 (+/-0.2494) for {'var_smoothing': 1e-09}
2023-09-27 21:48:19.086087 -> 0.9 (+/-0.1633) for {'var_smoothing': 1e-08}
2023-09-27 21:48:19.086087 -> 0.9 (+/-0.1633) for {'var_smoothing': 1e-07}
2023-09-27 21:48:19.087205 -> 0.9 (+/-0.1633) for {'var_smoothing': 1e-06}
2023-09-27 21:48:19.087205 -> 0.9 (+/-0.1633) for {'var_smoothing': 1e-05}
2023-09-27 21:48:19.087205 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-08}

2023-09-27 21:48:19.089282 -> Train time for Naive Bayes: 0.0015882531801859538 min
2023-09-27 21:48:19.090252 -> ----- Done training classifiers -----
2023-09-27 21:48:19.090252 -> 
 BENCHMARKING THE CLASSIFIERS
2023-09-27 21:48:19.090252 -> Order of importance: AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-09-27 21:48:19.173606 -> 
RF --  Latency: 0.010966062545776367 seconds / AUC: 0.9955 / Recall: 1.0 / Precision: 0.8667 / F1-Score: 0.9286 / Accuracy: 0.9333 / Fall-out: 0.0
2023-09-27 21:48:19.173606 -> 0.010966062545776367 seconds & 0.9955 & 1.0 & 0.8667 & 0.9286 & 0.9333 & 0.0
2023-09-27 21:48:19.184974 -> 
LR --  Latency: 0.0009999275207519531 seconds / AUC: 1.0 / Recall: 0.9231 / Precision: 1.0 / F1-Score: 0.96 / Accuracy: 0.9667 / Fall-out: 1.0
2023-09-27 21:48:19.184974 -> 0.0009999275207519531 seconds & 1.0 & 0.9231 & 1.0 & 0.96 & 0.9667 & 1.0
2023-09-27 21:48:19.197943 -> 
DT --  Latency: 0.0009963512420654297 seconds / AUC: 1.0 / Recall: 1.0 / Precision: 1.0 / F1-Score: 1.0 / Accuracy: 1.0 / Fall-out: nan
2023-09-27 21:48:19.198950 -> 0.0009963512420654297 seconds & 1.0 & 1.0 & 1.0 & 1.0 & 1.0 & nan
2023-09-27 21:48:19.214284 -> 
NB --  Latency: 0.0019941329956054688 seconds / AUC: 0.991 / Recall: 0.8462 / Precision: 1.0 / F1-Score: 0.9167 / Accuracy: 0.9333 / Fall-out: 1.0
2023-09-27 21:48:19.215325 -> 0.0019941329956054688 seconds & 0.991 & 0.8462 & 1.0 & 0.9167 & 0.9333 & 1.0
2023-09-27 21:48:19.232746 -> 
SVM --  Latency: 0.0019943714141845703 seconds / AUC: 1.0 / Recall: 1.0 / Precision: 0.9286 / F1-Score: 0.963 / Accuracy: 0.9667 / Fall-out: 0.0
2023-09-27 21:48:19.233758 -> 0.0019943714141845703 seconds & 1.0 & 1.0 & 0.9286 & 0.963 & 0.9667 & 0.0
2023-10-02 20:19:02.620575 -> Reading data from CSV ...
2023-10-02 20:19:02.663078 -> Data cleaning completed. Removed 0 records.
2023-10-02 20:19:02.663078 -> 1831 records remaining.
2023-10-02 20:19:02.664075 -> SPLITTING DATA
2023-10-02 20:19:02.670059 -> SAVING DATA
2023-10-02 20:19:02.688428 -> ----- Done Splitting data -----
2023-10-02 20:19:02.706156 -> 
DATASET STATISTICS
2023-10-02 20:19:02.711444 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-02 20:19:02.713439 -> Validation {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-02 20:19:02.714438 -> Test {'len': 275, 'features': 6, 'count': label
M    255
B     20
Name: count, dtype: int64}
2023-10-02 20:19:02.715434 -> 

TRAINING CLASSIFIERS
2023-10-02 20:19:02.716431 -> TRAINING: Random Forest
2023-10-02 20:23:22.650431 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.651464 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.651464 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.652497 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.652497 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.652497 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.653935 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.653935 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.653935 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.655431 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.655431 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.655431 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.656682 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.656682 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.657850 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.657850 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.657850 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.659309 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.659309 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.659309 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.660801 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.660801 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.660801 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.662292 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.662292 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.662292 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.663391 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.663938 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.663938 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.665041 -> 0.993 (+/-0.0058) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.665041 -> 0.993 (+/-0.0077) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.665041 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.666501 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.666501 -> 0.9906 (+/-0.0094) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.667690 -> 0.9899 (+/-0.0106) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.667752 -> 0.9906 (+/-0.0094) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.667752 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.669031 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.669031 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.670075 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.670581 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.670581 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.670581 -> 0.9906 (+/-0.0094) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.671974 -> 0.9922 (+/-0.0099) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.672499 -> 0.9914 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.672499 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.673581 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.673581 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.674584 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.674584 -> 0.9914 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.674584 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.676049 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.676049 -> 0.9906 (+/-0.0094) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.676049 -> 0.9906 (+/-0.0094) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.677552 -> 0.993 (+/-0.0058) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.677552 -> 0.9938 (+/-0.0094) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.677552 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.679112 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.679112 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.679112 -> 0.9922 (+/-0.0099) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.680204 -> 0.9914 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.680745 -> 0.9899 (+/-0.0106) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.680745 -> 0.9899 (+/-0.0106) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.681887 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.681887 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.681887 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.683304 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.683304 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.684464 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.684464 -> 0.9906 (+/-0.0093) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.685516 -> 0.9899 (+/-0.0106) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.685516 -> 0.9906 (+/-0.0094) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.685516 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.686849 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.686849 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.686849 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.688060 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.688600 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.688600 -> 0.9914 (+/-0.0076) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.689684 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.689684 -> 0.9922 (+/-0.007) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.690701 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.690701 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.690701 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.692194 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.692194 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.692194 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.693616 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.693616 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.693616 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.695151 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.695151 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.695151 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.696231 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.696231 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.697434 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.697434 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.698463 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.698463 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.698463 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.699897 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.699897 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.699897 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.701143 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.701143 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.702180 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.702180 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.703177 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.703177 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.703177 -> 0.9938 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.704670 -> 0.9938 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.704670 -> 0.9922 (+/-0.0099) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.704670 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.706084 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.706084 -> 0.9891 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.706084 -> 0.9899 (+/-0.0106) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.707644 -> 0.9899 (+/-0.0106) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.707644 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.707644 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.708742 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.709281 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.709281 -> 0.9938 (+/-0.0094) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.710441 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.710441 -> 0.9906 (+/-0.0093) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.710441 -> 0.9906 (+/-0.0094) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.711850 -> 0.9891 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.711850 -> 0.9906 (+/-0.0094) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.711850 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.713372 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.713441 -> 0.9914 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.713441 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.714493 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.715041 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.715041 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.716106 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.716106 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.716106 -> 0.9938 (+/-0.0094) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.717292 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.717292 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.718636 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.718636 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.719696 -> 0.9906 (+/-0.0094) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.719696 -> 0.9906 (+/-0.0094) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.719696 -> 0.9906 (+/-0.0106) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.720861 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.721401 -> 0.993 (+/-0.0077) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.721401 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.722473 -> 0.993 (+/-0.0077) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.722473 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.722473 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.723959 -> 0.9899 (+/-0.0106) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.723959 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.723959 -> 0.9906 (+/-0.0094) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.725035 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.725575 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.725575 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.726745 -> 0.9906 (+/-0.0116) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.726745 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.726745 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.728158 -> 0.9914 (+/-0.0076) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.728158 -> 0.9906 (+/-0.0094) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.728158 -> 0.9922 (+/-0.007) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.729668 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.729668 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.730723 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.730723 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.730723 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.731899 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.732413 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.732413 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.733484 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.733484 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.733484 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.734952 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.734952 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.734952 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.736028 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.736568 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.736568 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.737715 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.737715 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.737715 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.739146 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.739146 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.739146 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.740566 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.740566 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.741648 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.741648 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.741648 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.742963 -> 0.9938 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.742963 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.742963 -> 0.993 (+/-0.0077) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.744419 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.744419 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.744419 -> 0.9906 (+/-0.0094) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.745903 -> 0.9899 (+/-0.0106) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.745903 -> 0.9914 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.745903 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.747001 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.747542 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.747542 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.748683 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.748683 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.748683 -> 0.9906 (+/-0.0116) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.750141 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.750141 -> 0.9906 (+/-0.0093) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.750141 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.751624 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.751624 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.752648 -> 0.9891 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.753188 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.753188 -> 0.9906 (+/-0.0094) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.753188 -> 0.9899 (+/-0.0126) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.754538 -> 0.9891 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.754538 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.754538 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.756018 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.756018 -> 0.9938 (+/-0.0094) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.756018 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.757544 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.757544 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.757544 -> 0.9914 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.758641 -> 0.9899 (+/-0.0106) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.759182 -> 0.9899 (+/-0.0106) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.759182 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.760254 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.760254 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.760254 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.761688 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.761688 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.761688 -> 0.9899 (+/-0.0106) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.763241 -> 0.9899 (+/-0.0106) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.763241 -> 0.9899 (+/-0.0106) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.763241 -> 0.9906 (+/-0.0094) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.764333 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.764876 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.764876 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.766023 -> 0.9922 (+/-0.007) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.766023 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.766023 -> 0.9906 (+/-0.0116) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.767501 -> 0.9914 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.767501 -> 0.9914 (+/-0.0076) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.767501 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.769065 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.769134 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.769134 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.770187 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.770737 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.770737 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.771808 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.771808 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.771808 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.773219 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.773219 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.773219 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.774748 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.774748 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.774748 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.775842 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.776384 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.776384 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.777452 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.777452 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.778573 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.778573 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.778573 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.779734 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.780299 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.780299 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.781367 -> 0.9922 (+/-0.0099) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.781367 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.781367 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.782545 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.782545 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.783741 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.783741 -> 0.9899 (+/-0.0106) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.783741 -> 0.9899 (+/-0.0106) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.785206 -> 0.9891 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.785206 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.785206 -> 0.993 (+/-0.0077) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.786648 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.786648 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.787729 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.787729 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.787729 -> 0.9899 (+/-0.0106) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.789026 -> 0.9906 (+/-0.0093) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.789026 -> 0.9914 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.790035 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.790540 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.790540 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.790540 -> 0.993 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.791895 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.791895 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.791895 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.793372 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.793877 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.793877 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.794915 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.794915 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.794915 -> 0.993 (+/-0.0077) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.796347 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.796347 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.796347 -> 0.9899 (+/-0.0106) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.797883 -> 0.9906 (+/-0.0106) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.797883 -> 0.9899 (+/-0.0106) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.797883 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.798975 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.799521 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.799521 -> 0.9922 (+/-0.007) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.800673 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.800673 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.800673 -> 0.9891 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.802107 -> 0.9906 (+/-0.0094) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.802107 -> 0.9891 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.802107 -> 0.993 (+/-0.0058) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 20:23:22.803655 -> 0.9906 (+/-0.0094) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 20:23:22.803655 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 20:23:22.803655 -> 0.9906 (+/-0.0094) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 20:23:22.804748 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 20:23:22.805288 -> 0.9906 (+/-0.0094) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 20:23:22.805288 -> 0.9899 (+/-0.0116) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 20:23:22.806438 -> 0.9906 (+/-0.0094) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 20:23:22.806438 -> 0.9914 (+/-0.0076) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 20:23:22.806438 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}

2023-10-02 20:23:23.050101 -> Train time for Random Forrest: 4.338894506295522 min
2023-10-02 20:23:23.050101 -> TRAINING: Decision Tree
2023-10-02 20:23:30.450773 -> 0.9899 (+/-0.008) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.451834 -> 0.9906 (+/-0.0063) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.451834 -> 0.9922 (+/-0.0099) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.452902 -> 0.9922 (+/-0.011) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.453407 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.453407 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.453407 -> 0.993 (+/-0.0104) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.454843 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.454843 -> 0.9914 (+/-0.0104) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.454843 -> 0.993 (+/-0.0058) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.456416 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.456486 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.456486 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.457545 -> 0.9891 (+/-0.0058) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.458050 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.458050 -> 0.9906 (+/-0.0094) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.459218 -> 0.9883 (+/-0.011) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.459218 -> 0.9883 (+/-0.011) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.460282 -> 0.9906 (+/-0.008) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.460282 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.461310 -> 0.9922 (+/-0.0099) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.461310 -> 0.9914 (+/-0.0115) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.462519 -> 0.9906 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.462519 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.463562 -> 0.993 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.463562 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.463562 -> 0.9922 (+/-0.0099) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.464603 -> 0.9906 (+/-0.0126) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.464603 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.465748 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.465748 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.466770 -> 0.9899 (+/-0.008) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.467276 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.467276 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.467276 -> 0.9883 (+/-0.011) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.468809 -> 0.9891 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.468809 -> 0.9906 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.468809 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.469900 -> 0.9914 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.470440 -> 0.9922 (+/-0.011) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.470440 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.471686 -> 0.993 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.472190 -> 0.9922 (+/-0.011) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.472190 -> 0.993 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.473247 -> 0.9922 (+/-0.0099) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.473247 -> 0.9899 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.473247 -> 0.9906 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.474852 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.474852 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.474852 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.475904 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.476453 -> 0.9891 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.476453 -> 0.9883 (+/-0.011) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.477632 -> 0.9899 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.477632 -> 0.9906 (+/-0.008) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.477632 -> 0.9906 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.479077 -> 0.9914 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.479077 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.479077 -> 0.9906 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.480606 -> 0.9914 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.480606 -> 0.993 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.480606 -> 0.9875 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.481696 -> 0.9914 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.482236 -> 0.9914 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.482236 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.483402 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.483402 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.483402 -> 0.9859 (+/-0.0219) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.484883 -> 0.9875 (+/-0.0103) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.484883 -> 0.9891 (+/-0.0134) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.484883 -> 0.9883 (+/-0.011) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.486368 -> 0.9906 (+/-0.0094) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.486368 -> 0.9906 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.487408 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.487408 -> 0.9906 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.487408 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.488449 -> 0.9906 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.488449 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.489574 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.489574 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.490640 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.491145 -> 0.9906 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.491145 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.491145 -> 0.9906 (+/-0.0126) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.492576 -> 0.9875 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.492576 -> 0.9891 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.493626 -> 0.9875 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.493626 -> 0.9899 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.493626 -> 0.9883 (+/-0.011) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.494970 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.494970 -> 0.9906 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.494970 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.496429 -> 0.9914 (+/-0.0077) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.496429 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.497430 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.497430 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.498427 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.498427 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.499424 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.499424 -> 0.9899 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.500457 -> 0.9906 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.500457 -> 0.9906 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.501615 -> 0.9875 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.501615 -> 0.9891 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.502629 -> 0.9875 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.502629 -> 0.9899 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.503747 -> 0.9883 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.503747 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.504765 -> 0.9899 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.504765 -> 0.9906 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.505783 -> 0.9906 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.506288 -> 0.993 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.506288 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.506288 -> 0.9922 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.507713 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.507713 -> 0.9899 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.508730 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.509236 -> 0.9922 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.509236 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.509236 -> 0.9899 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.510668 -> 0.9875 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.510668 -> 0.9906 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.510668 -> 0.9875 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.512089 -> 0.9906 (+/-0.0116) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.512089 -> 0.9883 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.512089 -> 0.9891 (+/-0.0031) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.513543 -> 0.9906 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.514095 -> 0.9906 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.514095 -> 0.9914 (+/-0.0077) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.515226 -> 0.9922 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.515226 -> 0.9906 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.515226 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.516626 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.516626 -> 0.9899 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.517627 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.517627 -> 0.9906 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.518624 -> 0.9906 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.518624 -> 0.9922 (+/-0.0085) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.519621 -> 0.9875 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.519621 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.519621 -> 0.9875 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.521096 -> 0.9906 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.521096 -> 0.9883 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.522097 -> 0.9867 (+/-0.0223) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.522097 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.523314 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.523820 -> 0.9906 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.523820 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.523820 -> 0.9906 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.525255 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.525255 -> 0.993 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.525255 -> 0.9914 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.526705 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.526705 -> 0.9906 (+/-0.0094) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.527755 -> 0.9906 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.527755 -> 0.993 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.527755 -> 0.9875 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.529086 -> 0.986 (+/-0.0168) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.529086 -> 0.9875 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.529086 -> 0.9883 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.530521 -> 0.9883 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.530521 -> 0.9875 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.530521 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.531749 -> 0.9906 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.531749 -> 0.9914 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.532943 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.533450 -> 0.9906 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.533450 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.534519 -> 0.993 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.535024 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.535024 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.535024 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.536450 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.536450 -> 0.9883 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.537650 -> 0.9875 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.537650 -> 0.9883 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.538666 -> 0.9875 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.538666 -> 0.9891 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.538666 -> 0.9883 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.539983 -> 0.9899 (+/-0.0127) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.539983 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.541165 -> 0.993 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.541165 -> 0.9914 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.542175 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.543320 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.543389 -> 0.9906 (+/-0.0094) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.544452 -> 0.993 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.544452 -> 0.9914 (+/-0.0031) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.544452 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.545867 -> 0.993 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.545867 -> 0.9906 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.546886 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.547392 -> 0.9875 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.547392 -> 0.9906 (+/-0.0062) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.547392 -> 0.9875 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.548884 -> 0.9875 (+/-0.0114) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.548884 -> 0.9883 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.548884 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.550274 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.550274 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.550274 -> 0.9914 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.551742 -> 0.9906 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.551742 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.551742 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.553183 -> 0.993 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.553183 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.553183 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.554628 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.554628 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.555676 -> 0.9906 (+/-0.0116) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.555676 -> 0.9875 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 20:23:30.555676 -> 0.9906 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 20:23:30.556820 -> 0.9875 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 20:23:30.556820 -> 0.9883 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 20:23:30.557820 -> 0.9883 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 20:23:30.557820 -> 0.9891 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 20:23:30.558980 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}

2023-10-02 20:23:30.561049 -> Train time for Decision Tree: 0.12515965302785237 min
2023-10-02 20:23:30.561049 -> TRAINING: Support Vector Machine
2023-10-02 20:23:39.537639 -> 0.9102 (+/-0.0293) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.537639 -> 0.9282 (+/-0.0037) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.538636 -> 0.9235 (+/-0.0078) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.539745 -> 0.993 (+/-0.0058) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.539745 -> 0.9196 (+/-0.0106) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.541312 -> 0.993 (+/-0.0058) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.541312 -> 0.8829 (+/-0.0146) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.541312 -> 0.993 (+/-0.0058) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.543168 -> 0.9009 (+/-0.033) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.543168 -> 0.9282 (+/-0.0037) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.544171 -> 0.8751 (+/-0.0215) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.544171 -> 0.993 (+/-0.0058) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.545261 -> 0.861 (+/-0.0433) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.546325 -> 0.9922 (+/-0.007) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.546325 -> 0.8603 (+/-0.0211) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.547327 -> 0.993 (+/-0.0058) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.547327 -> 0.8977 (+/-0.0337) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.548324 -> 0.9883 (+/-0.0099) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.549322 -> 0.8649 (+/-0.0196) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.549322 -> 0.9922 (+/-0.007) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.550319 -> 0.8556 (+/-0.0478) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.551316 -> 0.9922 (+/-0.007) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.551316 -> 0.8564 (+/-0.018) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 20:23:39.552314 -> 0.993 (+/-0.0058) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 20:23:39.553310 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}

2023-10-02 20:23:39.557303 -> Train time for Support Vector Machine: 0.14992091258366902 min
2023-10-02 20:23:39.558299 -> TRAINING: Logistic Regression
2023-10-02 20:23:42.106157 -> 0.865 (+/-0.036) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 20:23:42.106662 -> 0.9282 (+/-0.0037) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 20:23:42.106662 -> 0.9282 (+/-0.0037) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 20:23:42.107664 -> 0.9282 (+/-0.0037) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 20:23:42.107664 -> 0.9282 (+/-0.0037) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 20:23:42.108779 -> 0.9282 (+/-0.0037) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 20:23:42.108779 -> 0.9282 (+/-0.0037) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 20:23:42.109779 -> 0.9282 (+/-0.0037) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 20:23:42.109779 -> 0.986 (+/-0.0079) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 20:23:42.110775 -> 0.9282 (+/-0.0037) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 20:23:42.110775 -> 0.9891 (+/-0.0077) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 20:23:42.111772 -> 0.9282 (+/-0.0037) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 20:23:42.111772 -> 0.9891 (+/-0.0077) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 20:23:42.112904 -> 0.9282 (+/-0.0037) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 20:23:42.113409 -> 0.9899 (+/-0.0062) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 20:23:42.113409 -> 0.9282 (+/-0.0037) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 20:23:42.114411 -> 0.9914 (+/-0.0077) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 20:23:42.114411 -> 0.9282 (+/-0.0037) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 20:23:42.115409 -> 0.9891 (+/-0.0077) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 20:23:42.115409 -> 0.9282 (+/-0.0037) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 20:23:42.115409 -> 0.9914 (+/-0.0077) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 20:23:42.116441 -> 0.9282 (+/-0.0037) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 20:23:42.116441 -> 0.9914 (+/-0.0077) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 20:23:42.117439 -> 0.9282 (+/-0.0037) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 20:23:42.117439 -> BEST PARAMS for Logistic Regression: {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}

2023-10-02 20:23:42.120395 -> Train time for Logistic Regression: 0.0426855723063151 min
2023-10-02 20:23:42.120395 -> TRAINING: Naive Bayes
2023-10-02 20:23:42.334940 -> 0.9859 (+/-0.008) for {'var_smoothing': 1e-09}
2023-10-02 20:23:42.336394 -> 0.9883 (+/-0.011) for {'var_smoothing': 1e-08}
2023-10-02 20:23:42.336394 -> 0.9891 (+/-0.0104) for {'var_smoothing': 1e-07}
2023-10-02 20:23:42.337453 -> 0.9891 (+/-0.0104) for {'var_smoothing': 1e-06}
2023-10-02 20:23:42.338000 -> 0.9891 (+/-0.0104) for {'var_smoothing': 1e-05}
2023-10-02 20:23:42.338000 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-07}

2023-10-02 20:23:42.342561 -> Train time for Naive Bayes: 0.003694303830464681 min
2023-10-02 20:23:42.342561 -> ----- Done training classifiers -----
2023-10-02 20:23:42.343565 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-02 20:23:42.343565 -> Order of importance: AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-10-02 20:23:42.570491 -> 
RF --  Latency: 0.03982663154602051 seconds / AUC: 0.9961 / Recall: 0.9992 / Precision: 0.9975 / F1-Score: 0.9983 / Accuracy: 0.9969 / Fall-out: 0.25
2023-10-02 20:23:42.571634 -> 0.03982663154602051 seconds & 0.9961 & 0.9992 & 0.9975 & 0.9983 & 0.9969 & 0.25
2023-10-02 20:23:42.639473 -> 
LR --  Latency: 0.0022139549255371094 seconds / AUC: 0.9929 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / Fall-out: 0.625
2023-10-02 20:23:42.640633 -> 0.0022139549255371094 seconds & 0.9929 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.625
2023-10-02 20:23:42.700920 -> 
DT --  Latency: 0.001994609832763672 seconds / AUC: 0.9931 / Recall: 0.9941 / Precision: 0.9975 / F1-Score: 0.9958 / Accuracy: 0.9922 / Fall-out: 0.7
2023-10-02 20:23:42.700920 -> 0.001994609832763672 seconds & 0.9931 & 0.9941 & 0.9975 & 0.9958 & 0.9922 & 0.7
2023-10-02 20:23:42.752040 -> 
NB --  Latency: 0.0015742778778076172 seconds / AUC: 0.9675 / Recall: 0.9916 / Precision: 0.9958 / F1-Score: 0.9937 / Accuracy: 0.9883 / Fall-out: 0.6666666666666666
2023-10-02 20:23:42.752040 -> 0.0015742778778076172 seconds & 0.9675 & 0.9916 & 0.9958 & 0.9937 & 0.9883 & 0.6666666666666666
2023-10-02 20:23:42.914069 -> 
SVM --  Latency: 0.05206918716430664 seconds / AUC: 0.9834 / Recall: 0.9966 / Precision: 0.9958 / F1-Score: 0.9962 / Accuracy: 0.993 / Fall-out: 0.4444444444444444
2023-10-02 20:23:42.914069 -> 0.05206918716430664 seconds & 0.9834 & 0.9966 & 0.9958 & 0.9962 & 0.993 & 0.4444444444444444
2023-10-02 21:01:04.754718 -> 
DATASET STATISTICS
2023-10-02 21:01:04.758707 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-02 21:01:04.760704 -> Validation {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-02 21:01:04.763695 -> Test {'len': 275, 'features': 6, 'count': label
M    255
B     20
Name: count, dtype: int64}
2023-10-02 21:01:04.765690 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-10-02 21:01:04.818547 -> 
LR --  Latency: 0.0049855709075927734 seconds / AUC: 0.9994 / Recall: 0.996 / Precision: 1.0 / F1-Score: 0.998 / Accuracy: 0.9964 / Fall-out: 1.0
2023-10-02 21:01:04.820543 -> 0.0049855709075927734 seconds & 0.9994 & 0.996 & 1.0 & 0.998 & 0.9964 & 1.0
2023-10-02 21:01:04.854450 -> 
DT --  Latency: 0.003988742828369141 seconds / AUC: 0.996 / Recall: 0.992 / Precision: 1.0 / F1-Score: 0.996 / Accuracy: 0.9927 / Fall-out: 1.0
2023-10-02 21:01:04.855447 -> 0.003988742828369141 seconds & 0.996 & 0.992 & 1.0 & 0.996 & 0.9927 & 1.0
2023-10-02 21:01:04.997068 -> 
RF --  Latency: 0.02294015884399414 seconds / AUC: 1.0 / Recall: 1.0 / Precision: 1.0 / F1-Score: 1.0 / Accuracy: 1.0 / Fall-out: nan
2023-10-02 21:01:04.998065 -> 0.02294015884399414 seconds & 1.0 & 1.0 & 1.0 & 1.0 & 1.0 & nan
2023-10-02 21:33:39.106912 -> 
DATASET STATISTICS
2023-10-02 21:33:39.108907 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-02 21:33:39.109905 -> Validation {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-02 21:33:39.110902 -> Test {'len': 275, 'features': 6, 'count': label
M    255
B     20
Name: count, dtype: int64}
2023-10-02 21:33:50.540602 -> 
DATASET STATISTICS
2023-10-02 21:33:50.542556 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-02 21:33:50.544596 -> Validation {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-02 21:33:50.545547 -> Test {'len': 275, 'features': 6, 'count': label
M    255
B     20
Name: count, dtype: int64}
2023-10-02 21:33:50.546586 -> 
 TESTING WITH THE BEST MODEL... 

2023-10-02 21:33:50.573509 -> 
LR --  Latency: 0.0030295848846435547 seconds / AUC: 1.0 / Recall: 0.9922 / Precision: 1.0 / F1-Score: 0.9961 / Accuracy: 0.9927 / Fall-out: 1.0
2023-10-02 21:33:50.574509 -> 0.0030295848846435547 seconds & 1.0 & 0.9922 & 1.0 & 0.9961 & 0.9927 & 1.0
2023-10-02 21:39:25.610208 -> Reading data from CSV ...
2023-10-02 21:39:25.634020 -> Data cleaning completed. Removed 0 records.
2023-10-02 21:39:25.635123 -> 1831 records remaining.
2023-10-02 21:39:25.636154 -> SPLITTING DATA
2023-10-02 21:39:25.642258 -> SAVING DATA
2023-10-02 21:39:25.655580 -> ----- Done Splitting data -----
2023-10-02 21:39:25.668214 -> 
DATASET STATISTICS
2023-10-02 21:39:25.670229 -> Train {'len': 1281, 'features': 6, 'count': label
M    1175
B     106
Name: count, dtype: int64}
2023-10-02 21:39:25.672021 -> Validation {'len': 275, 'features': 6, 'count': label
M    259
B     16
Name: count, dtype: int64}
2023-10-02 21:39:25.673350 -> Test {'len': 275, 'features': 6, 'count': label
M    260
B     15
Name: count, dtype: int64}
2023-10-02 21:39:25.673856 -> 
 TESTING WITH THE BEST MODEL... 

2023-10-02 21:39:25.698953 -> 
LR --  Latency: 0.0029458999633789062 seconds / AUC: 1.0 / Recall: 1.0 / Precision: 1.0 / F1-Score: 1.0 / Accuracy: 1.0 / Fall-out: nan
2023-10-02 21:39:25.699951 -> 0.0029458999633789062 seconds & 1.0 & 1.0 & 1.0 & 1.0 & 1.0 & nan
2023-10-02 21:40:42.002937 -> Reading data from CSV ...
2023-10-02 21:40:42.028104 -> Data cleaning completed. Removed 0 records.
2023-10-02 21:40:42.029138 -> 1831 records remaining.
2023-10-02 21:40:42.030175 -> SPLITTING DATA
2023-10-02 21:40:42.038167 -> SAVING DATA
2023-10-02 21:40:42.053051 -> ----- Done Splitting data -----
2023-10-02 21:40:42.064991 -> 
DATASET STATISTICS
2023-10-02 21:40:42.065993 -> Train {'len': 1281, 'features': 6, 'count': label
M    1183
B      98
Name: count, dtype: int64}
2023-10-02 21:40:42.067987 -> Validation {'len': 275, 'features': 6, 'count': label
M    255
B     20
Name: count, dtype: int64}
2023-10-02 21:40:42.068985 -> Test {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-02 21:40:42.068985 -> 

TRAINING CLASSIFIERS
2023-10-02 21:40:42.069982 -> TRAINING: Random Forest
2023-10-02 21:47:19.292541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.292541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.292541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.292541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.292541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.292541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.292541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.292541 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> 0.9953 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> 0.9953 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> 0.9953 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> 0.9953 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> 0.9914 (+/-0.0104) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> 0.993 (+/-0.0077) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.308163 -> 0.993 (+/-0.0077) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.308163 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.308163 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.323783 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.323783 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.323783 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.323783 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.326206 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.326206 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.326206 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.327812 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.327812 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.327812 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.329372 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.329927 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.329927 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.330956 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.330956 -> 0.9953 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.330956 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.332427 -> 0.9953 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.332427 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.332427 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.333828 -> 0.9945 (+/-0.0094) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.333828 -> 0.9906 (+/-0.0161) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.333828 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.335252 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.335252 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.335252 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.336657 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.336657 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.336657 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.338074 -> 0.993 (+/-0.0077) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.338074 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.338074 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> 0.993 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.339565 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> 0.9953 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> 0.9953 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> 0.9914 (+/-0.0104) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> 0.9914 (+/-0.0104) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.355226 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.355226 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.355226 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.9953 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.9953 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.9953 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.9945 (+/-0.0094) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.9899 (+/-0.0153) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.9914 (+/-0.0104) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.9914 (+/-0.0104) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.9922 (+/-0.0085) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.9906 (+/-0.0161) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.370812 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.370812 -> 0.9914 (+/-0.0104) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.386941 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.388150 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.388150 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.388150 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.390226 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.390733 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.390733 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.390733 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.391987 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.392528 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.403069 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.403069 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.403069 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.404429 -> 0.9953 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.9945 (+/-0.0094) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.404972 -> 0.9953 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.404972 -> 0.9945 (+/-0.0062) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.404972 -> 0.9953 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.404972 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.404972 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.9945 (+/-0.0094) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.9953 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.9953 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.9914 (+/-0.0104) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.9914 (+/-0.0104) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.9914 (+/-0.0104) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.9922 (+/-0.0085) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.419014 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.419014 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.434639 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.434639 -> 0.9953 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.434639 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.9945 (+/-0.0094) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.450297 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.450297 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.450297 -> 0.9914 (+/-0.0104) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.9914 (+/-0.0104) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.450297 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.9945 (+/-0.0094) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.9953 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.9953 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.9906 (+/-0.0161) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.9899 (+/-0.0153) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0077) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.9922 (+/-0.0085) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> 0.9906 (+/-0.0161) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:47:19.465882 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:47:19.465882 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}

2023-10-02 21:47:19.497157 -> Train time for Random Forrest: 6.623786254723867 min
2023-10-02 21:47:19.497157 -> TRAINING: Decision Tree
2023-10-02 21:47:26.470760 -> 0.9883 (+/-0.0191) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9906 (+/-0.0116) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9883 (+/-0.0191) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9891 (+/-0.0091) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.986 (+/-0.0168) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.993 (+/-0.0125) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9875 (+/-0.0239) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9875 (+/-0.02) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9922 (+/-0.0086) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9852 (+/-0.0181) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9914 (+/-0.0058) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9852 (+/-0.0167) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9914 (+/-0.0115) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9899 (+/-0.0106) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9891 (+/-0.0104) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9883 (+/-0.0191) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.470760 -> 0.9883 (+/-0.0191) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.470760 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9867 (+/-0.0189) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.993 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9867 (+/-0.0224) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9906 (+/-0.0106) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9875 (+/-0.02) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9945 (+/-0.0063) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9844 (+/-0.0215) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9922 (+/-0.0085) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9883 (+/-0.0215) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9852 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9906 (+/-0.0106) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9875 (+/-0.0174) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9914 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9891 (+/-0.0206) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9914 (+/-0.0194) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.986 (+/-0.0182) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9922 (+/-0.0139) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9867 (+/-0.0224) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9891 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9883 (+/-0.0215) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.986 (+/-0.0201) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9914 (+/-0.0115) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9852 (+/-0.0159) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9867 (+/-0.0201) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.486382 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.486382 -> 0.9899 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9883 (+/-0.0191) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9899 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9883 (+/-0.0191) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9938 (+/-0.0106) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9867 (+/-0.0189) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9922 (+/-0.0085) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9875 (+/-0.02) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9914 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9875 (+/-0.0239) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9852 (+/-0.0223) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9906 (+/-0.0117) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9852 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9875 (+/-0.0194) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9852 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9859 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9891 (+/-0.0151) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9891 (+/-0.0181) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9899 (+/-0.0189) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9906 (+/-0.0201) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9938 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9867 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9922 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9898 (+/-0.023) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9891 (+/-0.0218) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.993 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.502014 -> 0.9875 (+/-0.0181) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.502014 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9859 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9875 (+/-0.0194) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9852 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9859 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9875 (+/-0.0212) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9898 (+/-0.0189) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9898 (+/-0.0189) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9938 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9875 (+/-0.0181) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9883 (+/-0.0204) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9891 (+/-0.0218) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9867 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9859 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9914 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9852 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9859 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9891 (+/-0.0174) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9898 (+/-0.0189) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9859 (+/-0.0153) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.517622 -> 0.993 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.517622 -> 0.9883 (+/-0.0204) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9914 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9891 (+/-0.0218) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.993 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9867 (+/-0.0207) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9883 (+/-0.0221) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9859 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9883 (+/-0.0221) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9852 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9899 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9852 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9922 (+/-0.0085) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9891 (+/-0.0181) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9891 (+/-0.0174) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9938 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9867 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9898 (+/-0.023) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9906 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9898 (+/-0.0189) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9914 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9867 (+/-0.0207) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9852 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9891 (+/-0.0174) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9859 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9883 (+/-0.0178) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9852 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9852 (+/-0.0263) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.533242 -> 0.9891 (+/-0.0174) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.533242 -> 0.9938 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9898 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9906 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9859 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9938 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9891 (+/-0.0174) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9906 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9883 (+/-0.0204) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.993 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9875 (+/-0.0181) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9922 (+/-0.013) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9852 (+/-0.0167) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9875 (+/-0.0194) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9859 (+/-0.0175) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9875 (+/-0.0212) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9852 (+/-0.0167) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9883 (+/-0.0164) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9891 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9898 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.993 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9859 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.9891 (+/-0.0181) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9883 (+/-0.0204) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9898 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.548877 -> 0.993 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.548877 -> 0.9859 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9852 (+/-0.0167) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9899 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9859 (+/-0.0175) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9891 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9859 (+/-0.0175) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9891 (+/-0.0174) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9898 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9867 (+/-0.0175) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9938 (+/-0.0062) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9898 (+/-0.023) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.993 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9898 (+/-0.023) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9867 (+/-0.0161) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9852 (+/-0.0167) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9914 (+/-0.0103) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9859 (+/-0.0175) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9906 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9852 (+/-0.0167) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9852 (+/-0.0263) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9898 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.564522 -> 0.9898 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.564522 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.580144 -> 0.9875 (+/-0.0181) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.580144 -> 0.9945 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.580144 -> 0.9898 (+/-0.023) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.580144 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.580144 -> 0.9906 (+/-0.0201) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.580144 -> 0.9938 (+/-0.0127) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.580144 -> 0.9859 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.580144 -> 0.9945 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.580144 -> 0.9859 (+/-0.0175) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:47:26.580144 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:47:26.580144 -> 0.9859 (+/-0.0175) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:47:26.580144 -> 0.9867 (+/-0.0195) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:47:26.580144 -> 0.9852 (+/-0.0167) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:47:26.580144 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:47:26.580144 -> BEST PARAMS for Decision Tree: {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}

2023-10-02 21:47:26.580144 -> Train time for Decision Tree: 0.11804978052775066 min
2023-10-02 21:47:26.580144 -> TRAINING: Support Vector Machine
2023-10-02 21:47:34.888837 -> 0.9032 (+/-0.0171) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.888837 -> 0.9235 (+/-0.0037) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.888837 -> 0.9227 (+/-0.0058) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.888837 -> 0.9938 (+/-0.0079) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9133 (+/-0.0143) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9938 (+/-0.0079) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.8712 (+/-0.0151) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9938 (+/-0.0079) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.8954 (+/-0.0131) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9235 (+/-0.0037) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.904 (+/-0.0323) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9938 (+/-0.0079) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.8525 (+/-0.0244) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9938 (+/-0.0079) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.8485 (+/-0.0118) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9938 (+/-0.0079) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.8946 (+/-0.0118) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9875 (+/-0.018) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.8938 (+/-0.0385) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9938 (+/-0.0079) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.8509 (+/-0.0263) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.993 (+/-0.0091) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.8454 (+/-0.0148) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:47:34.904467 -> 0.9938 (+/-0.0079) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:47:34.904467 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}

2023-10-02 21:47:34.904467 -> Train time for Support Vector Machine: 0.13873871167500815 min
2023-10-02 21:47:34.904467 -> TRAINING: Logistic Regression
2023-10-02 21:47:36.984731 -> 0.8634 (+/-0.0459) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:47:36.984731 -> 0.9235 (+/-0.0037) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:47:36.984731 -> 0.9235 (+/-0.0037) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9852 (+/-0.0134) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9899 (+/-0.0145) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9891 (+/-0.0134) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9906 (+/-0.0117) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9906 (+/-0.0117) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9906 (+/-0.0117) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9899 (+/-0.0117) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> 0.9906 (+/-0.0117) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:47:37.000352 -> 0.9235 (+/-0.0037) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:47:37.000352 -> BEST PARAMS for Logistic Regression: {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}

2023-10-02 21:47:37.000352 -> Train time for Logistic Regression: 0.034931429227193195 min
2023-10-02 21:47:37.000352 -> TRAINING: Naive Bayes
2023-10-02 21:47:37.172187 -> 0.9922 (+/-0.011) for {'var_smoothing': 1e-09}
2023-10-02 21:47:37.172187 -> 0.993 (+/-0.0091) for {'var_smoothing': 1e-08}
2023-10-02 21:47:37.172187 -> 0.993 (+/-0.0091) for {'var_smoothing': 1e-07}
2023-10-02 21:47:37.172187 -> 0.993 (+/-0.0091) for {'var_smoothing': 1e-06}
2023-10-02 21:47:37.172187 -> 0.993 (+/-0.0091) for {'var_smoothing': 1e-05}
2023-10-02 21:47:37.172187 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-08}

2023-10-02 21:47:37.172187 -> Train time for Naive Bayes: 0.002863911787668864 min
2023-10-02 21:47:37.172187 -> ----- Done training classifiers -----
2023-10-02 21:47:37.172187 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-02 21:47:37.172187 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-10-02 21:47:37.297902 -> 
RF --  Latency: 0.020702600479125977 seconds / AUC: 0.997 / Recall: 1.0 / Precision: 0.9975 / F1-Score: 0.9987 / Accuracy: 0.9977 / Fall-out: 0.0
2023-10-02 21:47:37.297902 -> 0.020702600479125977 seconds & 0.997 & 1.0 & 0.9975 & 0.9987 & 0.9977 & 0.0
2023-10-02 21:47:37.375979 -> 
LR --  Latency: 0.0 seconds / AUC: 0.9936 / Recall: 0.9941 / Precision: 0.9975 / F1-Score: 0.9958 / Accuracy: 0.9922 / Fall-out: 0.7
2023-10-02 21:47:37.375979 -> 0.0 seconds & 0.9936 & 0.9941 & 0.9975 & 0.9958 & 0.9922 & 0.7
2023-10-02 21:47:37.469744 -> 
DT --  Latency: 0.0 seconds / AUC: 0.9968 / Recall: 0.9992 / Precision: 0.9958 / F1-Score: 0.9975 / Accuracy: 0.9953 / Fall-out: 0.16666666666666666
2023-10-02 21:47:37.469744 -> 0.0 seconds & 0.9968 & 0.9992 & 0.9958 & 0.9975 & 0.9953 & 0.16666666666666666
2023-10-02 21:47:37.532194 -> 
NB --  Latency: 0.0 seconds / AUC: 0.9755 / Recall: 0.9958 / Precision: 0.9966 / F1-Score: 0.9962 / Accuracy: 0.993 / Fall-out: 0.5555555555555556
2023-10-02 21:47:37.532194 -> 0.0 seconds & 0.9755 & 0.9958 & 0.9966 & 0.9962 & 0.993 & 0.5555555555555556
2023-10-02 21:47:37.689013 -> 
SVM --  Latency: 0.06284403800964355 seconds / AUC: 0.9875 / Recall: 0.9966 / Precision: 0.9966 / F1-Score: 0.9966 / Accuracy: 0.9938 / Fall-out: 0.5
2023-10-02 21:47:37.689013 -> 0.06284403800964355 seconds & 0.9875 & 0.9966 & 0.9966 & 0.9966 & 0.9938 & 0.5
2023-10-02 21:52:36.833128 -> Reading data from CSV ...
2023-10-02 21:52:36.847010 -> Data cleaning completed. Removed 0 records.
2023-10-02 21:52:36.848008 -> 1831 records remaining.
2023-10-02 21:52:36.848008 -> SPLITTING DATA
2023-10-02 21:52:36.852994 -> SAVING DATA
2023-10-02 21:52:36.869860 -> ----- Done Splitting data -----
2023-10-02 21:52:36.886619 -> 
DATASET STATISTICS
2023-10-02 21:52:36.889611 -> Train {'len': 1281, 'features': 6, 'count': label
M    1180
B     101
Name: count, dtype: int64}
2023-10-02 21:52:36.891606 -> Validation {'len': 275, 'features': 6, 'count': label
M    258
B     17
Name: count, dtype: int64}
2023-10-02 21:52:36.892605 -> Test {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-02 21:52:36.893601 -> 

TRAINING CLASSIFIERS
2023-10-02 21:52:36.894599 -> TRAINING: Random Forest
2023-10-02 21:56:48.451872 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.451872 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.452868 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.452868 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.453979 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.453979 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.453979 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.455445 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.455445 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.455445 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.456962 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.456962 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.457960 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.457960 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.458957 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.458957 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.459954 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.459954 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.460952 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.460952 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.460952 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.461949 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.461949 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.463021 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.463021 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.464158 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.464158 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.465191 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.465697 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.465697 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.465697 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.467131 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.467131 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.467131 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.468635 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.468635 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.469655 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.469655 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.469655 -> 0.9938 (+/-0.0038) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.470892 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.470892 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.470892 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.472344 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.472344 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.472344 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.473746 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.473746 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.473746 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.475179 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.475179 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.475179 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.476672 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.476672 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.476672 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.478078 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.478078 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.479230 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.479230 -> 0.9961 (+/-0.0049) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.479773 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.479773 -> 0.9953 (+/-0.0031) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.480921 -> 0.9938 (+/-0.0038) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.480921 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.480921 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.482318 -> 0.9938 (+/-0.0038) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.482318 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.482318 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.483745 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.483745 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.484821 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.484821 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.485838 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.485838 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.486980 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.486980 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.486980 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.488381 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.488381 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.489482 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.489482 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.490693 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.490693 -> 0.993 (+/-0.0059) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.491711 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.491711 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.492752 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.492752 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.493710 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.493710 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.493710 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.494745 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.494745 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.495972 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.495972 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.497031 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.497031 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.497031 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.498069 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.498069 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.499065 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.499065 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.500062 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.500062 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.501058 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.501058 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.502041 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.502041 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.503132 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.503132 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.503132 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.504523 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.505029 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.505029 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.505029 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.506485 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.506485 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.506485 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.507838 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.507838 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.507838 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.509266 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.509266 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.509266 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.510688 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.510688 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.511710 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.511710 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.511710 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.513082 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.513588 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.513588 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.513588 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.515004 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.515004 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.515004 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.516482 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.516482 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.516482 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.517933 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.517933 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.517933 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.519300 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.519300 -> 0.9953 (+/-0.0031) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.519300 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.520737 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.520737 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.520737 -> 0.9945 (+/-0.0038) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.522173 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.522173 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.522173 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.523633 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.523633 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.524650 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.524650 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.525686 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.525686 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.525686 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.526998 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.526998 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.528189 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.528189 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.529265 -> 0.9938 (+/-0.0038) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.529265 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.530285 -> 0.993 (+/-0.0059) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.530285 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.530285 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.531517 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.532022 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.532022 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.533026 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.533026 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.534056 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.534056 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.535018 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.535018 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.536016 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.536016 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.536016 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.537324 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.537324 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.538405 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.538405 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.539441 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.539441 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.540403 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.540403 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.540403 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.541437 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.541437 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.542433 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.542433 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.543532 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.543532 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.543532 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.544983 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.544983 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.544983 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.546408 -> 0.9938 (+/-0.0038) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.546408 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.546408 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.547808 -> 0.9938 (+/-0.0038) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.547808 -> 0.9945 (+/-0.0038) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.547808 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.549234 -> 0.9938 (+/-0.0038) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.549234 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.549234 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.550672 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.550672 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.551832 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.551832 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.551832 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.553026 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.553532 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.553532 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.553532 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.554903 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.554903 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.554903 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.556327 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.556327 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.556327 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.557796 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.557796 -> 0.9961 (+/-0.0049) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.558815 -> 0.9953 (+/-0.0031) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.558815 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.558815 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.560141 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.560141 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.560141 -> 0.9938 (+/-0.0038) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.561579 -> 0.9938 (+/-0.0038) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.561579 -> 0.9945 (+/-0.0038) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.561579 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.563050 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.563050 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.564067 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.564067 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.565106 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.565106 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.565106 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.566102 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.566102 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.567101 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.567101 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.568096 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.568096 -> 0.993 (+/-0.0059) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.569094 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.569094 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.570213 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.570213 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.570213 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.571422 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.571965 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.571965 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.572995 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.572995 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.573964 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.573964 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.574961 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.574961 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.575958 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.575958 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.576956 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.576956 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.576956 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.577992 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.577992 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.578986 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.578986 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.579985 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.579985 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.580979 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.580979 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.581952 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.581952 -> 0.9953 (+/-0.0031) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.582938 -> 0.9953 (+/-0.0031) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.582938 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.583937 -> 0.9953 (+/-0.0031) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.583937 -> 0.9953 (+/-0.0031) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.584935 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.584935 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.585932 -> 0.9938 (+/-0.0038) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.585932 -> 0.9938 (+/-0.0038) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.586929 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.586929 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.587964 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.587964 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.587964 -> 0.9938 (+/-0.0038) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.588959 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.588959 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.589957 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.589957 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.590954 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.590954 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.591917 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.591917 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.592913 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.592913 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.593910 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.593910 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.594907 -> 0.9961 (+/-0.0049) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.594907 -> 0.9953 (+/-0.0031) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.595905 -> 0.9953 (+/-0.0031) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.595905 -> 0.9938 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.596902 -> 0.9953 (+/-0.0031) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.596902 -> 0.9953 (+/-0.0031) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.596902 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.597934 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.597934 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.598935 -> 0.9938 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.598935 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.600029 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.600029 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.601031 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.601031 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.601031 -> 0.9938 (+/-0.0038) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.602363 -> 0.9938 (+/-0.0038) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.602870 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.602870 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-02 21:56:48.602870 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-02 21:56:48.604271 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-02 21:56:48.604777 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-02 21:56:48.604777 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-02 21:56:48.605778 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-02 21:56:48.605778 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-02 21:56:48.606811 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-02 21:56:48.606878 -> 0.993 (+/-0.0059) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-02 21:56:48.606878 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}

2023-10-02 21:56:48.635090 -> Train time for Random Forrest: 4.195674856503804 min
2023-10-02 21:56:48.635090 -> TRAINING: Decision Tree
2023-10-02 21:56:56.216954 -> 0.9953 (+/-0.0058) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.218042 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.218042 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.219103 -> 0.9953 (+/-0.0031) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.219103 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.220142 -> 0.9938 (+/-0.0063) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.220142 -> 0.9922 (+/-0.0086) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.220142 -> 0.9891 (+/-0.0125) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.221138 -> 0.9922 (+/-0.0086) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.221138 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.222134 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.222134 -> 0.9938 (+/-0.0063) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.223209 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.223209 -> 0.9883 (+/-0.0164) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.224261 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.224261 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.225296 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.225296 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.225296 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.226294 -> 0.9953 (+/-0.0031) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.226294 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.227292 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.227292 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.228342 -> 0.9945 (+/-0.0062) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.228846 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.228846 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.229848 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.229848 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.230846 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.230846 -> 0.9922 (+/-0.005) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.231843 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.231843 -> 0.9906 (+/-0.0094) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.232840 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.232840 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.232840 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.233872 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.233872 -> 0.9953 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.234870 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.234870 -> 0.9953 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.235877 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.235877 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.236830 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.236830 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.237827 -> 0.9898 (+/-0.0106) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.237827 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.238824 -> 0.9899 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.238824 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.239822 -> 0.9906 (+/-0.0117) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.240002 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.240002 -> 0.9867 (+/-0.0194) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.241001 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.241001 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.241998 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.241998 -> 0.9938 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.242995 -> 0.9953 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.242995 -> 0.9953 (+/-0.0031) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.243992 -> 0.9953 (+/-0.0058) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.243992 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.244989 -> 0.9938 (+/-0.0063) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.244989 -> 0.9906 (+/-0.008) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.244989 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.246023 -> 0.9891 (+/-0.0152) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.246023 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.247021 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.247021 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.247995 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.247995 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.249089 -> 0.9922 (+/-0.0086) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.249089 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.249089 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.250430 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.250430 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.250430 -> 0.9953 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.251868 -> 0.9945 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.251868 -> 0.9945 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.251868 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.253230 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.253230 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.253230 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.254663 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.254663 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.254663 -> 0.9875 (+/-0.0174) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.256065 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.256065 -> 0.9899 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.256065 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.257496 -> 0.9883 (+/-0.0164) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.257496 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.257496 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.258892 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.258892 -> 0.9898 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.258892 -> 0.9953 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.260264 -> 0.9945 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.260264 -> 0.9953 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.260264 -> 0.9914 (+/-0.0077) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.261653 -> 0.9945 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.261653 -> 0.9891 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.261653 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.263095 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.263095 -> 0.9922 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.263095 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.264415 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.264415 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.265574 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.265574 -> 0.9898 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.266115 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.266115 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.267252 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.267252 -> 0.9867 (+/-0.0201) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.267252 -> 0.9945 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.268653 -> 0.9953 (+/-0.0031) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.268653 -> 0.9953 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.268653 -> 0.9938 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.270084 -> 0.9938 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.270084 -> 0.9953 (+/-0.0031) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.271084 -> 0.9922 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.271084 -> 0.9891 (+/-0.0143) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.272081 -> 0.9922 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.272081 -> 0.9906 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.273079 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.273079 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.273079 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.274185 -> 0.9859 (+/-0.0295) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.274185 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.275242 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.275242 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.276244 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.276244 -> 0.9945 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.277242 -> 0.9953 (+/-0.0031) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.277242 -> 0.9945 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.278238 -> 0.9953 (+/-0.0031) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.278238 -> 0.9938 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.279273 -> 0.9945 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.279342 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.279342 -> 0.9906 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.280382 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.280382 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.281383 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.281383 -> 0.9922 (+/-0.0086) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.282374 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.282374 -> 0.9891 (+/-0.0174) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.283407 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.283407 -> 0.9867 (+/-0.0175) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.283407 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.284407 -> 0.9859 (+/-0.0255) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.284407 -> 0.9953 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.285407 -> 0.9961 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.285407 -> 0.9945 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.286365 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.286365 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.287360 -> 0.9938 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.287360 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.288356 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.288356 -> 0.9922 (+/-0.0086) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.289355 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.289355 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.290387 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.290455 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.290455 -> 0.9906 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.291522 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.292027 -> 0.9906 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.292027 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.293029 -> 0.9891 (+/-0.0143) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.293029 -> 0.9953 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.294027 -> 0.9961 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.294027 -> 0.9953 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.294027 -> 0.9938 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.295061 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.295061 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.296056 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.296056 -> 0.9898 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.297150 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.297655 -> 0.9914 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.297655 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.298656 -> 0.9938 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.298656 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.298656 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.299688 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.300651 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.300651 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.300651 -> 0.9906 (+/-0.0094) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.301686 -> 0.9945 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.301686 -> 0.9945 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.302895 -> 0.9945 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.302895 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.302895 -> 0.9945 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.304242 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.304747 -> 0.9922 (+/-0.0086) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.304747 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.305748 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.305748 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.306746 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.306746 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.306746 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.307743 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.307743 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.308937 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.309449 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.309449 -> 0.9914 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.309449 -> 0.9953 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.310486 -> 0.9953 (+/-0.0031) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.310486 -> 0.9945 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.311482 -> 0.9922 (+/-0.0086) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.311482 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.312590 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.312590 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.313659 -> 0.9891 (+/-0.0143) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.313659 -> 0.9922 (+/-0.0086) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.314730 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.315235 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.315235 -> 0.9906 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.315235 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-02 21:56:56.316238 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-02 21:56:56.316238 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-02 21:56:56.317384 -> 0.9891 (+/-0.0143) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-02 21:56:56.317384 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-02 21:56:56.318476 -> 0.9898 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-02 21:56:56.318548 -> BEST PARAMS for Decision Tree: {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}

2023-10-02 21:56:56.320602 -> Train time for Decision Tree: 0.12809186379114787 min
2023-10-02 21:56:56.320602 -> TRAINING: Support Vector Machine
2023-10-02 21:57:05.026769 -> 0.9001 (+/-0.0287) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.026769 -> 0.9212 (+/-0.0029) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.027757 -> 0.9204 (+/-0.0037) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.027757 -> 0.9938 (+/-0.0038) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.028769 -> 0.9102 (+/-0.0111) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.028769 -> 0.9938 (+/-0.0038) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.029747 -> 0.8767 (+/-0.0301) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.029747 -> 0.9938 (+/-0.0038) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.030803 -> 0.8892 (+/-0.0394) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.030803 -> 0.9212 (+/-0.0029) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.031840 -> 0.9102 (+/-0.021) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.031840 -> 0.9938 (+/-0.0038) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.032836 -> 0.8478 (+/-0.0448) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.032836 -> 0.9938 (+/-0.0038) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.033833 -> 0.847 (+/-0.0316) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.033833 -> 0.9938 (+/-0.0038) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.034830 -> 0.8892 (+/-0.0394) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.034830 -> 0.9883 (+/-0.0085) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.035827 -> 0.9063 (+/-0.0267) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.035827 -> 0.9938 (+/-0.0038) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.036824 -> 0.8439 (+/-0.0322) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.036824 -> 0.9938 (+/-0.0038) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.037824 -> 0.8447 (+/-0.0324) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-02 21:57:05.037824 -> 0.9938 (+/-0.0038) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-02 21:57:05.037824 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}

2023-10-02 21:57:05.041164 -> Train time for Support Vector Machine: 0.1453426996866862 min
2023-10-02 21:57:05.042497 -> TRAINING: Logistic Regression
2023-10-02 21:57:07.178189 -> 0.8579 (+/-0.0242) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:57:07.179187 -> 0.9212 (+/-0.0029) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:57:07.179187 -> 0.9212 (+/-0.0029) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:57:07.180184 -> 0.9212 (+/-0.0029) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:57:07.180184 -> 0.9212 (+/-0.0029) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:57:07.181182 -> 0.9212 (+/-0.0029) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:57:07.181182 -> 0.9212 (+/-0.0029) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:57:07.182179 -> 0.9212 (+/-0.0029) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:57:07.182179 -> 0.9859 (+/-0.0127) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:57:07.183176 -> 0.9212 (+/-0.0029) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:57:07.183176 -> 0.9922 (+/-0.0049) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:57:07.184173 -> 0.9212 (+/-0.0029) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:57:07.184173 -> 0.9914 (+/-0.0058) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:57:07.185171 -> 0.9212 (+/-0.0029) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:57:07.185171 -> 0.9922 (+/-0.0049) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:57:07.185171 -> 0.9212 (+/-0.0029) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:57:07.186168 -> 0.993 (+/-0.0059) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:57:07.186168 -> 0.9212 (+/-0.0029) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:57:07.187165 -> 0.9922 (+/-0.0049) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:57:07.187165 -> 0.9212 (+/-0.0029) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:57:07.188163 -> 0.9938 (+/-0.0038) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-02 21:57:07.188163 -> 0.9212 (+/-0.0029) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-10-02 21:57:07.189160 -> 0.9938 (+/-0.0038) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-02 21:57:07.189160 -> 0.9212 (+/-0.0029) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-10-02 21:57:07.190157 -> BEST PARAMS for Logistic Regression: {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}

2023-10-02 21:57:07.192152 -> Train time for Logistic Regression: 0.03582758903503418 min
2023-10-02 21:57:07.192152 -> TRAINING: Naive Bayes
2023-10-02 21:57:07.356712 -> 0.9867 (+/-0.0106) for {'var_smoothing': 1e-09}
2023-10-02 21:57:07.356712 -> 0.9875 (+/-0.0103) for {'var_smoothing': 1e-08}
2023-10-02 21:57:07.357709 -> 0.9883 (+/-0.011) for {'var_smoothing': 1e-07}
2023-10-02 21:57:07.357709 -> 0.9883 (+/-0.011) for {'var_smoothing': 1e-06}
2023-10-02 21:57:07.358707 -> 0.9883 (+/-0.011) for {'var_smoothing': 1e-05}
2023-10-02 21:57:07.358707 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-07}

2023-10-02 21:57:07.360702 -> Train time for Naive Bayes: 0.002792541186014811 min
2023-10-02 21:57:07.361699 -> ----- Done training classifiers -----
2023-10-02 21:57:07.361699 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-02 21:57:07.361699 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-10-02 21:57:07.468448 -> 
RF --  Latency: 0.012775897979736328 seconds / AUC: 0.9965 / Recall: 0.9992 / Precision: 0.9975 / F1-Score: 0.9983 / Accuracy: 0.9969 / Fall-out: 0.25
2023-10-02 21:57:07.469738 -> 0.012775897979736328 seconds & 0.9965 & 0.9992 & 0.9975 & 0.9983 & 0.9969 & 0.25
2023-10-02 21:57:07.530284 -> 
LR --  Latency: 0.0010347366333007812 seconds / AUC: 0.9935 / Recall: 0.9958 / Precision: 0.9966 / F1-Score: 0.9962 / Accuracy: 0.993 / Fall-out: 0.5555555555555556
2023-10-02 21:57:07.531247 -> 0.0010347366333007812 seconds & 0.9935 & 0.9958 & 0.9966 & 0.9962 & 0.993 & 0.5555555555555556
2023-10-02 21:57:07.602116 -> 
DT --  Latency: 0.0020008087158203125 seconds / AUC: 0.9971 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / Fall-out: 0.3333333333333333
2023-10-02 21:57:07.603114 -> 0.0020008087158203125 seconds & 0.9971 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.3333333333333333
2023-10-02 21:57:07.670129 -> 
NB --  Latency: 0.0019881725311279297 seconds / AUC: 0.9768 / Recall: 0.9898 / Precision: 0.9966 / F1-Score: 0.9932 / Accuracy: 0.9875 / Fall-out: 0.75
2023-10-02 21:57:07.671088 -> 0.0019881725311279297 seconds & 0.9768 & 0.9898 & 0.9966 & 0.9932 & 0.9875 & 0.75
2023-10-02 21:57:07.812768 -> 
SVM --  Latency: 0.04758810997009277 seconds / AUC: 0.9889 / Recall: 0.9966 / Precision: 0.9966 / F1-Score: 0.9966 / Accuracy: 0.9938 / Fall-out: 0.5
2023-10-02 21:57:07.812768 -> 0.04758810997009277 seconds & 0.9889 & 0.9966 & 0.9966 & 0.9966 & 0.9938 & 0.5
2023-10-02 22:11:28.606059 -> 
DATASET STATISTICS
2023-10-02 22:11:28.609014 -> Train {'len': 1281, 'features': 6, 'count': label
M    1180
B     101
Name: count, dtype: int64}
2023-10-02 22:11:28.611009 -> Validation {'len': 275, 'features': 6, 'count': label
M    258
B     17
Name: count, dtype: int64}
2023-10-02 22:11:28.613003 -> Test {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-02 22:11:28.614005 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-10-02 22:11:28.648975 -> 
LR --  Latency: 0.0022907257080078125 seconds / AUC: 0.9959 / Recall: 0.9922 / Precision: 1.0 / F1-Score: 0.9961 / Accuracy: 0.9927 / Fall-out: 1.0
2023-10-02 22:11:28.649520 -> 0.0022907257080078125 seconds & 0.9959 & 0.9922 & 1.0 & 0.9961 & 0.9927 & 1.0
2023-10-02 22:11:28.684024 -> 
DT --  Latency: 0.0036301612854003906 seconds / AUC: 0.9929 / Recall: 0.9922 / Precision: 1.0 / F1-Score: 0.9961 / Accuracy: 0.9927 / Fall-out: 1.0
2023-10-02 22:11:28.684024 -> 0.0036301612854003906 seconds & 0.9929 & 0.9922 & 1.0 & 0.9961 & 0.9927 & 1.0
2023-10-02 22:11:28.737295 -> 
RF --  Latency: 0.006665706634521484 seconds / AUC: 1.0 / Recall: 1.0 / Precision: 1.0 / F1-Score: 1.0 / Accuracy: 1.0 / Fall-out: nan
2023-10-02 22:11:28.737295 -> 0.006665706634521484 seconds & 1.0 & 1.0 & 1.0 & 1.0 & 1.0 & nan
2023-10-02 22:17:49.211044 -> 
DATASET STATISTICS
2023-10-02 22:17:49.213075 -> Train {'len': 1281, 'features': 6, 'count': label
M    1180
B     101
Name: count, dtype: int64}
2023-10-02 22:17:49.215032 -> Validation {'len': 275, 'features': 6, 'count': label
M    258
B     17
Name: count, dtype: int64}
2023-10-02 22:17:49.216070 -> Test {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-02 22:17:49.217064 -> 
 TESTING WITH THE BEST MODEL... 

2023-10-02 22:17:49.247884 -> 
LR --  Latency: 0.0019941329956054688 seconds / AUC: 0.993 / Recall: 0.9961 / Precision: 0.9961 / F1-Score: 0.9961 / Accuracy: 0.9927 / Fall-out: 0.5
2023-10-02 22:17:49.248844 -> 0.0019941329956054688 seconds & 0.993 & 0.9961 & 0.9961 & 0.9961 & 0.9927 & 0.5
2023-10-04 14:45:32.128380 -> Reading data from CSV ...
2023-10-04 14:45:32.169927 -> Data cleaning completed. Removed 0 records.
2023-10-04 14:45:32.170924 -> 1831 records remaining.
2023-10-04 14:45:32.171922 -> SPLITTING DATA
2023-10-04 14:45:32.180073 -> SAVING DATA
2023-10-04 14:45:32.199722 -> ----- Done Splitting data -----
2023-10-04 14:45:32.228645 -> 
DATASET STATISTICS
2023-10-04 14:45:32.235626 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 14:45:32.238618 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 14:45:32.241609 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 14:45:32.242607 -> 

---- TRAINING CLASSIFIERS ----
2023-10-04 14:45:32.244602 -> TRAINING: Random Forest
2023-10-04 14:49:41.345126 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.345126 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.346445 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.347484 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.347484 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.348486 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.348486 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.349552 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.349552 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.349552 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.350923 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.350923 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.352079 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.353348 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.353348 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.354653 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.354653 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.355678 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.355678 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.356842 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.356842 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.357874 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.357874 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.359051 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.360134 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.360134 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.361132 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.362169 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.362169 -> 0.9953 (+/-0.0058) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.363172 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.364170 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.365238 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.365238 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.365238 -> 0.9906 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.366479 -> 0.9906 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.366983 -> 0.9906 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.367984 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.367984 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.369102 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.369102 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.370108 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.370108 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.371183 -> 0.9906 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.371183 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.372186 -> 0.9906 (+/-0.0127) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.372186 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.373181 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.373181 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.374181 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.374181 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.375206 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.375206 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.376210 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.376210 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.377210 -> 0.9945 (+/-0.0062) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.377210 -> 0.9945 (+/-0.0062) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.378209 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.378209 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.379347 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.379853 -> 0.9945 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.379853 -> 0.9891 (+/-0.0091) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.380860 -> 0.9906 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.381364 -> 0.9906 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.381364 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.382423 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.382928 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.382928 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.383987 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.384492 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.384492 -> 0.9938 (+/-0.0094) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.385508 -> 0.9906 (+/-0.0127) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.386014 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.386014 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.386014 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.387586 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.387586 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.388602 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.388602 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.388602 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.389865 -> 0.993 (+/-0.0115) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.390407 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.390407 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.391559 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.392064 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.392064 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.393146 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.393146 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.393146 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.394510 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.395054 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.395054 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.396184 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.397218 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.397218 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.398185 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.399282 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.399788 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.400877 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.400877 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.400877 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.402118 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.402118 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.403122 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.403122 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.404446 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.404446 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.405467 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.405467 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.406489 -> 0.9953 (+/-0.0058) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.406489 -> 0.9953 (+/-0.0058) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.407665 -> 0.9953 (+/-0.0058) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.407665 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.408667 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.409689 -> 0.9945 (+/-0.0062) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.410259 -> 0.9891 (+/-0.0091) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.410259 -> 0.9906 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.411347 -> 0.9906 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.412350 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.412350 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.413347 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.413347 -> 0.9938 (+/-0.0079) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.414345 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.414345 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.415343 -> 0.9906 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.415343 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.416346 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.416346 -> 0.9906 (+/-0.0127) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.417611 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.418116 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.418116 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.418116 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.419542 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.420048 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.420048 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.421063 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.421569 -> 0.9945 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.421569 -> 0.9945 (+/-0.0062) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.421569 -> 0.9953 (+/-0.0058) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.423064 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.423064 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.424098 -> 0.9953 (+/-0.0058) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.424603 -> 0.9906 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.424603 -> 0.9906 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.425603 -> 0.9891 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.425603 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.427058 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.427058 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.428085 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.429271 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.429271 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.429271 -> 0.993 (+/-0.0091) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.430499 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.431501 -> 0.9906 (+/-0.0127) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.431501 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.432499 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.432499 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.433495 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.433495 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.434548 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.434548 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.435668 -> 0.993 (+/-0.0115) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.436174 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.436699 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.436699 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.437947 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.437947 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.438969 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.438969 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.440192 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.440192 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.441193 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.441193 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.441193 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.442618 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.442618 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.443922 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.443922 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.444922 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.444922 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.445983 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.445983 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.447079 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.447586 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.447586 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.448591 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.448591 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.449692 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.449692 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.450741 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.450741 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.451749 -> 0.9953 (+/-0.0058) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.451749 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.452759 -> 0.9945 (+/-0.0062) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.452759 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.453975 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.453975 -> 0.9891 (+/-0.0091) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.455201 -> 0.9906 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.456198 -> 0.9906 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.456198 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.457331 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.458386 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.459387 -> 0.9938 (+/-0.0079) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.459387 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.460696 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.460696 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.461838 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.461838 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.463272 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.463272 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.464626 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.464626 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.466085 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.466085 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.467109 -> 0.9906 (+/-0.0127) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.467109 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.468141 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.469157 -> 0.9953 (+/-0.0058) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.469157 -> 0.9953 (+/-0.0058) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.469157 -> 0.9953 (+/-0.0058) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.470946 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.470946 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.472080 -> 0.9945 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.472080 -> 0.9914 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.473080 -> 0.9906 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.473080 -> 0.9906 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.474179 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.474179 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.475291 -> 0.993 (+/-0.0091) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.475291 -> 0.9938 (+/-0.0079) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.476360 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.476360 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.477552 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.477552 -> 0.9906 (+/-0.0127) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.478553 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.479550 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.479550 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.479550 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.480821 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.480821 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.482014 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.482014 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.483152 -> 0.993 (+/-0.0115) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.484420 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.484928 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.484928 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.485932 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.486927 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.486927 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.487949 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.487949 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.488958 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.488958 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.489962 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.489962 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.491232 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.492233 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.492233 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.493234 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.493234 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.494504 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.494504 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.496199 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.496199 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.497466 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.497975 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.497975 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.497975 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.499258 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.500630 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.500630 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.501744 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.502871 -> 0.9953 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.503382 -> 0.9945 (+/-0.0062) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.504418 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.504930 -> 0.9953 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.506244 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.506244 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.507370 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.508431 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.508431 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.509534 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.510738 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.511249 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.512261 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.512771 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.513875 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.514386 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.514386 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.516070 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.516580 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.517791 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.517791 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.518933 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.520285 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.520285 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.521943 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.522945 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.523943 -> 0.9945 (+/-0.0062) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.524940 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.525941 -> 0.9953 (+/-0.0058) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.526971 -> 0.9953 (+/-0.0058) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.526971 -> 0.9945 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.528243 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.529432 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.529941 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.529941 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.531808 -> 0.993 (+/-0.0091) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.531808 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.533007 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.534003 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.534003 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.535632 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.535632 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.536635 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.537838 -> 0.9906 (+/-0.0127) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.537838 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:49:41.539144 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:49:41.540140 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:49:41.541201 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:49:41.541745 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:49:41.542904 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:49:41.542904 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:49:41.544484 -> 0.993 (+/-0.0115) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:49:41.544484 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:49:41.545533 -> BEST PARAMS for Random Forrest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}

2023-10-04 14:49:41.664081 -> Train time for Random Forrest: 4.156991310914358 min
2023-10-04 14:49:41.665078 -> TRAINING: Decision Tree
2023-10-04 14:49:49.411078 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.412077 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.412077 -> 0.9945 (+/-0.0062) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.413073 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.413073 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.414070 -> 0.9891 (+/-0.0174) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.414070 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.415031 -> 0.9938 (+/-0.0063) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.415031 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.416175 -> 0.993 (+/-0.0058) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.416175 -> 0.9891 (+/-0.018) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.417178 -> 0.9938 (+/-0.0063) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.417178 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.418175 -> 0.9875 (+/-0.0181) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.418175 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.419234 -> 0.982 (+/-0.0235) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.419234 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.420233 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.420233 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.421230 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.421230 -> 0.9945 (+/-0.0062) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.422262 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.422262 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.422262 -> 0.9938 (+/-0.0063) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.423260 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.423260 -> 0.9945 (+/-0.0063) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.424258 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.424258 -> 0.9953 (+/-0.0031) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.425261 -> 0.9891 (+/-0.018) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.425261 -> 0.9938 (+/-0.0106) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.426252 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.426252 -> 0.9852 (+/-0.0174) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.427250 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.427250 -> 0.993 (+/-0.0115) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.428268 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.428268 -> 0.9891 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.429229 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.429229 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.430269 -> 0.9945 (+/-0.0062) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.430269 -> 0.9938 (+/-0.0094) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.431270 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.431270 -> 0.993 (+/-0.0115) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.432265 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.432265 -> 0.9945 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.433262 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.433262 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.434294 -> 0.9875 (+/-0.0151) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.434294 -> 0.9922 (+/-0.014) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.434294 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.435292 -> 0.993 (+/-0.0114) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.435292 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.436290 -> 0.9852 (+/-0.0233) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.436290 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.437288 -> 0.9906 (+/-0.0094) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.437288 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.438273 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.438273 -> 0.9945 (+/-0.0062) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.439274 -> 0.993 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.439274 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.440247 -> 0.9945 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.440247 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.441241 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.441241 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.442238 -> 0.9906 (+/-0.0117) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.442238 -> 0.9883 (+/-0.0163) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.443271 -> 0.9914 (+/-0.0152) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.443271 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.444233 -> 0.9883 (+/-0.0171) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.444233 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.445230 -> 0.9891 (+/-0.0134) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.445230 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.446263 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.446263 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.446263 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.447259 -> 0.9945 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.447259 -> 0.993 (+/-0.0031) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.448260 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.448260 -> 0.9945 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.449255 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.449255 -> 0.993 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.450247 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.450247 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.451230 -> 0.9883 (+/-0.0163) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.451230 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.452283 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.452283 -> 0.9906 (+/-0.0127) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.453300 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.453300 -> 0.9914 (+/-0.0167) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.453300 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.454731 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.455237 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.455237 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.456266 -> 0.9945 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.456266 -> 0.993 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.456266 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.457572 -> 0.9945 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.458114 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.458114 -> 0.9914 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.459150 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.459150 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.460130 -> 0.9883 (+/-0.0163) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.460130 -> 0.993 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.461109 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.461109 -> 0.982 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.462108 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.462108 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.463216 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.463288 -> 0.9906 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.463288 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.464322 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.464322 -> 0.9945 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.465375 -> 0.9922 (+/-0.007) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.465881 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.465881 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.466882 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.466882 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.467915 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.467915 -> 0.9914 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.468877 -> 0.9883 (+/-0.0163) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.468877 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.469874 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.469874 -> 0.9899 (+/-0.0161) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.469874 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.470908 -> 0.9828 (+/-0.0235) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.470908 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.471903 -> 0.9899 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.471903 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.472901 -> 0.993 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.472901 -> 0.9945 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.473865 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.473865 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.474919 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.474919 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.476145 -> 0.993 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.476145 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.476145 -> 0.9938 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.477460 -> 0.9891 (+/-0.018) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.477965 -> 0.9906 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.477965 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.478966 -> 0.9828 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.478966 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.479963 -> 0.9852 (+/-0.0151) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.479963 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.480961 -> 0.993 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.480961 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.480961 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.482386 -> 0.9945 (+/-0.0062) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.482386 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.482386 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.483793 -> 0.993 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.483793 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.483793 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.485376 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.485376 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.485376 -> 0.9875 (+/-0.0151) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.486469 -> 0.993 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.487024 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.487024 -> 0.9906 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.488087 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.488087 -> 0.9914 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.488087 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.489574 -> 0.993 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.489574 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.489574 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.491110 -> 0.9945 (+/-0.0062) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.491110 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.491110 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.492203 -> 0.9938 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.492775 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.492775 -> 0.9898 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.493840 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.493840 -> 0.9922 (+/-0.007) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.493840 -> 0.9891 (+/-0.018) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.495261 -> 0.9906 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.495261 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.495261 -> 0.9914 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.496769 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.496769 -> 0.9875 (+/-0.0151) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.496769 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.497861 -> 0.9922 (+/-0.013) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.498411 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.498411 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.499480 -> 0.9945 (+/-0.0062) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.499480 -> 0.9938 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.499480 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.500904 -> 0.9945 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.500904 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.500904 -> 0.9906 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.502427 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.502497 -> 0.9883 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.502497 -> 0.9883 (+/-0.0163) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.503552 -> 0.9891 (+/-0.0151) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.504094 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.504094 -> 0.9859 (+/-0.0153) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.505241 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.505241 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.505241 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.506663 -> 0.9891 (+/-0.0151) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.506663 -> 0.993 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.506663 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.508179 -> 0.9945 (+/-0.0062) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.508179 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.508179 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.509273 -> 0.993 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.509273 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.510424 -> 0.993 (+/-0.0059) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.510424 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.510424 -> 0.9922 (+/-0.0121) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.511790 -> 0.9883 (+/-0.0163) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.512295 -> 0.9953 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.512295 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-04 14:49:49.512295 -> 0.9899 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-04 14:49:49.513835 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-04 14:49:49.513903 -> 0.9914 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-04 14:49:49.513903 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-04 14:49:49.514969 -> 0.9883 (+/-0.0148) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-04 14:49:49.515509 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}

2023-10-04 14:49:49.518157 -> Train time for Decision Tree: 0.13085122108459474 min
2023-10-04 14:49:49.518157 -> TRAINING: Support Vector Machine
2023-10-04 14:49:58.461532 -> 0.904 (+/-0.027) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.462532 -> 0.9266 (+/-0.0031) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.462532 -> 0.9204 (+/-0.0107) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.463512 -> 0.9938 (+/-0.0094) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.463512 -> 0.9165 (+/-0.0107) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.464561 -> 0.9938 (+/-0.0094) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.464561 -> 0.879 (+/-0.0391) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.465601 -> 0.9938 (+/-0.0094) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.465601 -> 0.8993 (+/-0.0189) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.465601 -> 0.9266 (+/-0.0031) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.466879 -> 0.872 (+/-0.0265) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.466879 -> 0.9938 (+/-0.0094) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.467880 -> 0.8626 (+/-0.0294) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.467880 -> 0.9938 (+/-0.0094) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.468878 -> 0.8571 (+/-0.0378) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.468878 -> 0.9938 (+/-0.0094) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.468878 -> 0.8985 (+/-0.0193) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.469978 -> 0.9867 (+/-0.0106) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.469978 -> 0.8603 (+/-0.0295) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.471009 -> 0.9938 (+/-0.0094) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.471009 -> 0.8556 (+/-0.0234) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.471009 -> 0.9938 (+/-0.0094) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.472506 -> 0.8564 (+/-0.0351) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-04 14:49:58.472506 -> 0.9938 (+/-0.0094) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-04 14:49:58.472506 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}

2023-10-04 14:49:58.475673 -> Train time for Support Vector Machine: 0.14929193258285522 min
2023-10-04 14:49:58.476674 -> TRAINING: Logistic Regression
2023-10-04 14:50:00.707245 -> 0.8642 (+/-0.0316) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-04 14:50:00.707245 -> 0.9266 (+/-0.0031) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-10-04 14:50:00.708208 -> 0.9266 (+/-0.0031) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-04 14:50:00.708208 -> 0.9266 (+/-0.0031) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-10-04 14:50:00.709203 -> 0.9266 (+/-0.0031) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-04 14:50:00.709203 -> 0.9266 (+/-0.0031) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-10-04 14:50:00.709203 -> 0.9266 (+/-0.0031) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-04 14:50:00.710472 -> 0.9266 (+/-0.0031) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-10-04 14:50:00.710978 -> 0.9867 (+/-0.0136) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-04 14:50:00.710978 -> 0.9266 (+/-0.0031) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-04 14:50:00.711979 -> 0.9906 (+/-0.0106) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-04 14:50:00.711979 -> 0.9266 (+/-0.0031) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-04 14:50:00.712976 -> 0.993 (+/-0.0115) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-04 14:50:00.712976 -> 0.9266 (+/-0.0031) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-04 14:50:00.713974 -> 0.9906 (+/-0.0106) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-04 14:50:00.713974 -> 0.9266 (+/-0.0031) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-04 14:50:00.714971 -> 0.993 (+/-0.0115) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-04 14:50:00.715967 -> 0.9266 (+/-0.0031) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-10-04 14:50:00.715967 -> 0.9938 (+/-0.0094) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-04 14:50:00.716965 -> 0.9266 (+/-0.0031) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-10-04 14:50:00.717961 -> 0.993 (+/-0.0115) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-04 14:50:00.717961 -> 0.9266 (+/-0.0031) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-10-04 14:50:00.718959 -> 0.9938 (+/-0.0094) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-04 14:50:00.720020 -> 0.9266 (+/-0.0031) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-10-04 14:50:00.720020 -> BEST PARAMS for Logistic Regression: {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}

2023-10-04 14:50:00.723061 -> Train time for Logistic Regression: 0.03743977546691894 min
2023-10-04 14:50:00.723061 -> TRAINING: Naive Bayes
2023-10-04 14:50:00.890577 -> 0.9906 (+/-0.0136) for {'var_smoothing': 1e-09}
2023-10-04 14:50:00.891574 -> 0.9906 (+/-0.0136) for {'var_smoothing': 1e-08}
2023-10-04 14:50:00.892571 -> 0.9914 (+/-0.0124) for {'var_smoothing': 1e-07}
2023-10-04 14:50:00.892571 -> 0.9914 (+/-0.0124) for {'var_smoothing': 1e-06}
2023-10-04 14:50:00.893569 -> 0.993 (+/-0.0076) for {'var_smoothing': 1e-05}
2023-10-04 14:50:00.893569 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-05}

2023-10-04 14:50:00.895564 -> Train time for Naive Bayes: 0.002875045935312907 min
2023-10-04 14:50:00.895564 -> TRAINING: Gradient Boosting
2023-10-04 14:55:04.647959 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.649022 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.649022 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.650176 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.650176 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.651350 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.651855 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.651855 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.651855 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.653290 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.653290 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.653290 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.654879 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.654879 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.654879 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.655971 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.655971 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.657152 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.657152 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.657152 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.658622 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.658622 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.658622 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.660165 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.660234 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.660234 -> 0.9875 (+/-0.0115) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.661279 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.661821 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.661821 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.662884 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.662884 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.662884 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.664383 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.664383 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.664383 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.665785 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.665785 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.666834 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.666834 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.666834 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.668114 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.668114 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.668114 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.669541 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.669541 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.669541 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.670999 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.670999 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.670999 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.672363 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.672363 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.673397 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.673397 -> 0.9875 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.673397 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.674815 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.674815 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.674815 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.676354 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.676434 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.676434 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.677488 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.677488 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.678753 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.678753 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.678753 -> 0.993 (+/-0.0077) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.680163 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.680163 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.680163 -> 0.993 (+/-0.0077) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.681697 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.681765 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.681765 -> 0.9898 (+/-0.0094) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.682814 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.683364 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.683364 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.684446 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.684446 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.684446 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.685904 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.685904 -> 0.9266 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.685904 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.687418 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.687418 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.687418 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.688511 -> 0.9945 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.689056 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.689056 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.690272 -> 0.9938 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.690272 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.690272 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.691708 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.691708 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.691708 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.693224 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.693224 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.693224 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.694314 -> 0.9938 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.694856 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.694856 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.695959 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.696464 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.696464 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.696464 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.697874 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.697874 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.697874 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.699306 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.699306 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.699306 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.700796 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.700796 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.700796 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.702214 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.702214 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.702214 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.703684 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.703684 -> 0.9938 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.703684 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.705218 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.705218 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.705218 -> 0.9938 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.706310 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.706854 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.706854 -> 0.9945 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.708011 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.708011 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.708011 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.709409 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.709409 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.709409 -> 0.9938 (+/-0.0063) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.710925 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.710925 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.710925 -> 0.9938 (+/-0.0063) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.712019 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.712019 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.713128 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.713128 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.714220 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.714725 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.714725 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.714725 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.716245 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.716313 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.716313 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.717365 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.717920 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.717920 -> 0.993 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.718989 -> 0.9938 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.718989 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.718989 -> 0.9938 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.720422 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.720422 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.720422 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.721923 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.721923 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.721923 -> 0.9922 (+/-0.007) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.723019 -> 0.9938 (+/-0.0063) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.723561 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.723561 -> 0.993 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.724708 -> 0.9938 (+/-0.0063) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.724708 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.724708 -> 0.9922 (+/-0.007) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.726139 -> 0.993 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.726139 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.726139 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.727692 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.727692 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.727692 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.728782 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.729322 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.729322 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.730472 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.730472 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.730472 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.731855 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.731855 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.733016 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.733016 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.734035 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.734035 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.735104 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.735104 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.735104 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.736518 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.736518 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.736518 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.737954 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.737954 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.737954 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.739530 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.739599 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.739599 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.740650 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.741202 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.741202 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.742274 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.742274 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.742274 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.743709 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.743709 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.743709 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.745256 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.745256 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.745256 -> 0.9953 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.746346 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.746902 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.746902 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.747970 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.747970 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.747970 -> 0.993 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.749397 -> 0.9938 (+/-0.0063) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.749397 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.750417 -> 0.993 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.750417 -> 0.9945 (+/-0.0038) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.750417 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.751739 -> 0.9938 (+/-0.0038) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.751739 -> 0.9938 (+/-0.0038) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.751739 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.753166 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.753166 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.753166 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.754590 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.754590 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.754590 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.756048 -> 0.993 (+/-0.0091) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.756048 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.756048 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.757397 -> 0.9938 (+/-0.0079) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.757397 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.757397 -> 0.9945 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.758802 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.758802 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.758802 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.760209 -> 0.9938 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.760209 -> 0.9945 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.760209 -> 0.9906 (+/-0.0116) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-04 14:55:04.761714 -> 0.993 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-04 14:55:04.761714 -> 0.993 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-04 14:55:04.762731 -> 0.9922 (+/-0.007) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-04 14:55:04.762731 -> 0.993 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-04 14:55:04.763842 -> 0.993 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-04 14:55:04.764871 -> 0.9922 (+/-0.007) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-04 14:55:04.764871 -> 0.993 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-04 14:55:04.765996 -> 0.993 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-04 14:55:04.765996 -> BEST PARAMS for Gradient Boosting: {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}

2023-10-04 14:55:04.782230 -> Train time for Gradient Boosting: 5.06477777560552 min
2023-10-04 14:55:04.783182 -> TRAINING: K Nearest Neighbors
2023-10-04 14:55:06.098385 -> 0.9953 (+/-0.0031) for {'n_neighbors': 3, 'p': 1, 'weights': 'uniform'}
2023-10-04 14:55:06.098385 -> 0.9938 (+/-0.0038) for {'n_neighbors': 3, 'p': 1, 'weights': 'distance'}
2023-10-04 14:55:06.099382 -> 0.9961 (+/-0.0049) for {'n_neighbors': 3, 'p': 2, 'weights': 'uniform'}
2023-10-04 14:55:06.099382 -> 0.9945 (+/-0.0062) for {'n_neighbors': 3, 'p': 2, 'weights': 'distance'}
2023-10-04 14:55:06.100379 -> 0.9914 (+/-0.0091) for {'n_neighbors': 5, 'p': 1, 'weights': 'uniform'}
2023-10-04 14:55:06.100379 -> 0.993 (+/-0.0058) for {'n_neighbors': 5, 'p': 1, 'weights': 'distance'}
2023-10-04 14:55:06.101376 -> 0.993 (+/-0.0091) for {'n_neighbors': 5, 'p': 2, 'weights': 'uniform'}
2023-10-04 14:55:06.101376 -> 0.9945 (+/-0.0062) for {'n_neighbors': 5, 'p': 2, 'weights': 'distance'}
2023-10-04 14:55:06.102374 -> 0.9914 (+/-0.0091) for {'n_neighbors': 7, 'p': 1, 'weights': 'uniform'}
2023-10-04 14:55:06.102374 -> 0.993 (+/-0.0058) for {'n_neighbors': 7, 'p': 1, 'weights': 'distance'}
2023-10-04 14:55:06.102374 -> 0.9914 (+/-0.0091) for {'n_neighbors': 7, 'p': 2, 'weights': 'uniform'}
2023-10-04 14:55:06.103371 -> 0.993 (+/-0.0058) for {'n_neighbors': 7, 'p': 2, 'weights': 'distance'}
2023-10-04 14:55:06.103371 -> 0.9914 (+/-0.0125) for {'n_neighbors': 10, 'p': 1, 'weights': 'uniform'}
2023-10-04 14:55:06.104368 -> 0.993 (+/-0.0058) for {'n_neighbors': 10, 'p': 1, 'weights': 'distance'}
2023-10-04 14:55:06.104368 -> 0.993 (+/-0.0115) for {'n_neighbors': 10, 'p': 2, 'weights': 'uniform'}
2023-10-04 14:55:06.105366 -> 0.9945 (+/-0.0062) for {'n_neighbors': 10, 'p': 2, 'weights': 'distance'}
2023-10-04 14:55:06.105366 -> BEST PARAMS for K Nearest Neighbors: {'n_neighbors': 3, 'p': 2, 'weights': 'uniform'}

2023-10-04 14:55:06.108358 -> Train time for K Nearest Neighbors: 0.02208626667658488 min
2023-10-04 14:55:06.109355 -> ----- Done training classifiers -----
2023-10-04 14:55:06.109355 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 14:55:06.110353 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-10-04 14:55:06.241229 -> 
RF --  Latency: 18.949508666992188 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / Fall-out: 0.3333333333333333
2023-10-04 14:55:06.242234 -> 18.949508666992188 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.3333333333333333
2023-10-04 14:55:06.293784 -> 
LR --  Latency: 2.1584033966064453 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / Fall-out: 0.625
2023-10-04 14:55:06.294745 -> 2.1584033966064453 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.625
2023-10-04 14:55:06.374258 -> 
DT --  Latency: 1.995086669921875 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / Fall-out: 0.6666666666666666
2023-10-04 14:55:06.375256 -> 1.995086669921875 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.6666666666666666
2023-10-04 14:55:06.442779 -> 
NB --  Latency: 2.989053726196289 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / Fall-out: 0.625
2023-10-04 14:55:06.442779 -> 2.989053726196289 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.625
2023-10-04 14:55:06.608297 -> 
SVM --  Latency: 60.83512306213379 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / Fall-out: 0.625
2023-10-04 14:55:06.608297 -> 60.83512306213379 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.625
2023-10-04 14:55:06.720296 -> 
GB --  Latency: 11.67750358581543 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / Fall-out: 0.3333333333333333
2023-10-04 14:55:06.721295 -> 11.67750358581543 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.3333333333333333
2023-10-04 14:55:06.897555 -> 
KNN --  Latency: 116.45078659057617 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / Fall-out: 0.2
2023-10-04 14:55:06.897555 -> 116.45078659057617 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.2
2023-10-04 20:45:20.060005 -> 
DATASET STATISTICS
2023-10-04 20:45:20.067984 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 20:45:20.068982 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 20:45:20.069988 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 20:45:20.069988 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-10-04 20:45:20.099898 -> !!! 

ERROR IN VALIDATION

2023-10-04 20:52:23.777566 -> 
DATASET STATISTICS
2023-10-04 20:52:23.779523 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 20:52:23.780558 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 20:52:23.781560 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 20:52:23.781560 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 20:52:23.781560 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-10-04 20:52:23.869412 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 20:57:26.258840 -> 
DATASET STATISTICS
2023-10-04 20:57:26.259838 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 20:57:26.260835 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 20:57:26.261834 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 20:57:26.261834 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 20:57:26.262829 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, Fall-out
2023-10-04 20:57:26.342545 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 20:58:13.213602 -> 
DATASET STATISTICS
2023-10-04 20:58:13.214573 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 20:58:13.215623 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 20:58:13.216567 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 20:58:13.216567 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 20:58:13.217591 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 20:58:13.305080 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:01:43.456723 -> 
DATASET STATISTICS
2023-10-04 21:01:43.458717 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:01:43.459715 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:01:43.459715 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:01:43.460712 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:01:43.460712 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:01:43.560514 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:10:15.049588 -> 
DATASET STATISTICS
2023-10-04 21:10:15.050586 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:10:15.051590 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:10:15.052594 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:10:15.052594 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:10:15.053577 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:10:15.137354 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:11:26.993642 -> 
DATASET STATISTICS
2023-10-04 21:11:26.994613 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:11:26.995610 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:11:26.997632 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:11:26.997632 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:11:26.998605 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:11:27.085413 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:19:41.041789 -> 
DATASET STATISTICS
2023-10-04 21:19:41.046135 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:19:41.047132 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:19:41.047132 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:19:41.048130 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:19:41.048130 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:19:41.136104 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:21:06.286448 -> 
DATASET STATISTICS
2023-10-04 21:21:06.287417 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:21:06.288416 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:21:06.289441 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:21:06.289441 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:21:06.290422 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:21:06.373346 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:21:45.591832 -> 
DATASET STATISTICS
2023-10-04 21:21:45.592792 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:21:45.593789 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:21:45.594787 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:21:45.594787 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:21:45.595813 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:21:45.676596 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:22:03.795551 -> 
DATASET STATISTICS
2023-10-04 21:22:03.796549 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:22:03.797546 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:22:03.797546 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:22:03.798543 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:22:03.798543 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:22:03.882846 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:22:48.748013 -> 
DATASET STATISTICS
2023-10-04 21:22:48.748983 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:22:48.749980 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:22:48.751005 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:22:48.751005 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:22:48.751976 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:22:48.836448 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:23:06.984622 -> 
DATASET STATISTICS
2023-10-04 21:23:06.986670 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:23:06.986670 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:23:06.987668 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:23:06.988637 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:23:06.988637 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:23:07.070637 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:23:31.567708 -> 
DATASET STATISTICS
2023-10-04 21:23:31.568704 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:23:31.569702 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:23:31.570704 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:23:31.570704 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:23:31.570704 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:23:31.656717 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:24:53.621192 -> 
DATASET STATISTICS
2023-10-04 21:24:53.622160 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:24:53.623157 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:24:53.624156 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:24:53.624156 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:24:53.625193 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:24:53.708050 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:42:37.021855 -> 
DATASET STATISTICS
2023-10-04 21:42:37.022854 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:42:37.023849 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:42:37.024848 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:42:37.025845 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:42:37.025845 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:42:37.132560 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:42:42.818274 -> 
DATASET STATISTICS
2023-10-04 21:42:42.819271 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:42:42.820268 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:42:42.821265 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:42:42.821265 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:42:42.821265 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:42:42.906051 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:42:58.328367 -> 
DATASET STATISTICS
2023-10-04 21:42:58.329338 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:42:58.330344 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:42:58.331332 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:42:58.331332 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:42:58.332357 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:42:58.431454 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:43:15.890711 -> 
DATASET STATISTICS
2023-10-04 21:43:15.891709 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:43:15.892679 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:43:15.893710 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:43:15.893710 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:43:15.894674 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:43:15.987459 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:43:35.279130 -> 
DATASET STATISTICS
2023-10-04 21:43:35.280098 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:43:35.281096 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:43:35.282120 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:43:35.282120 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:43:35.283091 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:43:35.382652 -> 
RF --  Latency: 12.964487075805664 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: [0.         0.62997658 0.63309914 0.90241998 0.90866511 0.90944575
 0.91334895 0.91647151 0.91725215 0.91881343 0.91959407 0.92115535
 0.92505855 0.92740047 0.92896175 0.93052303 0.9921936  1.        ]
2023-10-04 21:43:35.384636 -> 12.964487075805664 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & [0.         0.62997658 0.63309914 0.90241998 0.90866511 0.90944575
 0.91334895 0.91647151 0.91725215 0.91881343 0.91959407 0.92115535
 0.92505855 0.92740047 0.92896175 0.93052303 0.9921936  1.        ]
2023-10-04 21:43:35.428760 -> 
LR --  Latency: 4.062652587890625 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: [0.         0.12802498 0.14832162 0.15066354 0.1537861  0.16627635
 0.16783763 0.17096019 0.17252147 0.17408275 0.17564403 0.17720531
 0.18032787 0.18501171 0.18579235 0.18891491 0.19281811 0.19594067
 0.19828259 0.20062451 0.20374707 0.20452771 0.20921155 0.21311475
 0.21467603 0.21779859 0.21935988 0.22014052 0.2217018  0.22716628
 0.23419204 0.2373146  0.24355972 0.24590164 0.2490242  0.25136612
 0.25214676 0.25370804 0.25448868 0.25604996 0.25839188 0.26151444
 0.26307572 0.26385636 0.26541764 0.26932084 0.27166276 0.2724434
 0.27400468 0.27712724 0.27790788 0.28103044 0.28337237 0.28805621
 0.28961749 0.29586261 0.29664325 0.29898517 0.29976581 0.30288837
 0.30444965 0.30601093 0.31303669 0.31459797 0.32474629 0.33177205
 0.33255269 0.33411397 0.34035909 0.34270101 0.34894614 0.34972678
 0.3520687  0.35675254 0.36299766 0.37470726 0.37626854 0.37704918
 0.38017174 0.3832943  0.38641686 0.38875878 0.39188134 0.39266198
 0.39578454 0.39812646 0.39968774 0.40202966 0.40515222 0.40593286
 0.40905543 0.41295863 0.41530055 0.41998439 0.42154567 0.43247463
 0.43637783 0.70569867 0.76814988 0.77205308 0.78142077 0.78220141
 0.78376269 0.78532397 0.78766589 0.78922717 0.79234973 0.79313037
 0.79703357 0.80562061 0.80640125 0.81030445 0.81108509 0.81342701
 0.81498829 0.81733021 0.82123341 0.82279469 0.82513661 0.82825917
 0.82982045 0.84231069 0.85636222 0.85948478 0.86260734 0.86338798
 0.88290398 0.8852459  0.88680718 0.88758782 0.89071038 0.8930523
 0.89461358 0.89851678 0.9008587  0.90398126 0.90632319 0.90710383
 0.90866511 0.91256831 0.91491023 0.91803279 0.91881343 0.92271663
 0.92505855 0.92974239 0.93208431 0.93364559 0.93676815 0.99843872
 1.        ]
2023-10-04 21:43:35.430754 -> 4.062652587890625 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & [0.         0.12802498 0.14832162 0.15066354 0.1537861  0.16627635
 0.16783763 0.17096019 0.17252147 0.17408275 0.17564403 0.17720531
 0.18032787 0.18501171 0.18579235 0.18891491 0.19281811 0.19594067
 0.19828259 0.20062451 0.20374707 0.20452771 0.20921155 0.21311475
 0.21467603 0.21779859 0.21935988 0.22014052 0.2217018  0.22716628
 0.23419204 0.2373146  0.24355972 0.24590164 0.2490242  0.25136612
 0.25214676 0.25370804 0.25448868 0.25604996 0.25839188 0.26151444
 0.26307572 0.26385636 0.26541764 0.26932084 0.27166276 0.2724434
 0.27400468 0.27712724 0.27790788 0.28103044 0.28337237 0.28805621
 0.28961749 0.29586261 0.29664325 0.29898517 0.29976581 0.30288837
 0.30444965 0.30601093 0.31303669 0.31459797 0.32474629 0.33177205
 0.33255269 0.33411397 0.34035909 0.34270101 0.34894614 0.34972678
 0.3520687  0.35675254 0.36299766 0.37470726 0.37626854 0.37704918
 0.38017174 0.3832943  0.38641686 0.38875878 0.39188134 0.39266198
 0.39578454 0.39812646 0.39968774 0.40202966 0.40515222 0.40593286
 0.40905543 0.41295863 0.41530055 0.41998439 0.42154567 0.43247463
 0.43637783 0.70569867 0.76814988 0.77205308 0.78142077 0.78220141
 0.78376269 0.78532397 0.78766589 0.78922717 0.79234973 0.79313037
 0.79703357 0.80562061 0.80640125 0.81030445 0.81108509 0.81342701
 0.81498829 0.81733021 0.82123341 0.82279469 0.82513661 0.82825917
 0.82982045 0.84231069 0.85636222 0.85948478 0.86260734 0.86338798
 0.88290398 0.8852459  0.88680718 0.88758782 0.89071038 0.8930523
 0.89461358 0.89851678 0.9008587  0.90398126 0.90632319 0.90710383
 0.90866511 0.91256831 0.91491023 0.91803279 0.91881343 0.92271663
 0.92505855 0.92974239 0.93208431 0.93364559 0.93676815 0.99843872
 1.        ]
2023-10-04 21:43:35.463129 -> 
DT --  Latency: 0.9977817535400391 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: [0.         0.62997658 0.91959407 0.92427791 1.        ]
2023-10-04 21:43:35.464181 -> 0.9977817535400391 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & [0.         0.62997658 0.91959407 0.92427791 1.        ]
2023-10-04 21:43:35.495118 -> 
NB --  Latency: 0.9973049163818359 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: [0.         0.45120999 0.45277127 0.45355191 0.45667447 0.45901639
 0.46213895 0.46291959 0.46448087 0.470726   0.47228728 0.47384856
 0.49336456 0.49570648 0.509758   0.52224824 0.52380952 0.58626073
 0.58938329 0.59328649 0.59797034 0.59953162 0.60265418 0.6049961
 0.60811866 0.61202186 0.61514442 0.61748634 0.62607338 0.62763466
 0.63153786 0.63309914 0.63544106 0.63778298 0.63934426 0.64324746
 0.91256831 0.91412959 0.91803279 0.92115535 0.92505855 0.92661983
 0.9882904  0.99141296 0.99297424 0.99531616 1.        ]
2023-10-04 21:43:35.496128 -> 0.9973049163818359 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & [0.         0.45120999 0.45277127 0.45355191 0.45667447 0.45901639
 0.46213895 0.46291959 0.46448087 0.470726   0.47228728 0.47384856
 0.49336456 0.49570648 0.509758   0.52224824 0.52380952 0.58626073
 0.58938329 0.59328649 0.59797034 0.59953162 0.60265418 0.6049961
 0.60811866 0.61202186 0.61514442 0.61748634 0.62607338 0.62763466
 0.63153786 0.63309914 0.63544106 0.63778298 0.63934426 0.64324746
 0.91256831 0.91412959 0.91803279 0.92115535 0.92505855 0.92661983
 0.9882904  0.99141296 0.99297424 0.99531616 1.        ]
2023-10-04 21:43:35.627376 -> 
SVM --  Latency: 33.45441818237305 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: [0.         0.00156128 0.00312256 0.00546448 0.00858704 0.01014832
 0.01327088 0.02498048 0.02576112 0.0273224  0.02888368 0.03044496
 0.0312256  0.03278689 0.03434817 0.03590945 0.03903201 0.03981265
 0.04137393 0.04371585 0.04527713 0.04683841 0.05074161 0.05698673
 0.06010929 0.06167057 0.06323185 0.06401249 0.06557377 0.06791569
 0.08040593 0.08196721 0.08587041 0.08977361 0.09836066 0.10070258
 0.37002342 0.37080406 0.37392662 0.37470726 0.38251366 0.38563622
 0.3871975  0.3911007  0.39344262 0.40749415 0.40905543 0.41295863
 0.41451991 0.41530055 0.41686183 0.41920375 0.41998439 0.42310695
 0.42388759 0.42701015 0.43013271 0.43091335 0.43559719 0.43950039
 0.44106167 0.44496487 0.44730679 0.509758   0.51131928 0.5175644
 0.51834504 0.52068696 0.5214676  0.52380952 0.52615144 0.52771272
 0.53161593 0.53473849 0.53942233 0.54176425 0.54488681 0.54644809
 0.54800937 0.55113193 0.55191257 0.55347385 0.55737705 0.55971897
 0.56049961 0.56206089 0.56518345 0.56908665 0.57064793 0.57923497
 0.58001561 0.59953162 0.60187354 0.61046058 0.6167057  0.61982826
 0.62138954 0.62295082 0.62373146 0.62529274 0.62763466 0.62997658
 0.63387978 0.6362217  0.64246682 0.6440281  0.64637002 0.6479313
 0.64871194 0.6518345  0.65339578 0.65495706 0.66120219 0.66510539
 0.66666667 0.66822795 0.66978923 0.67369243 0.67603435 0.68071819
 0.68306011 0.68618267 0.68930523 0.69320843 0.69476971 0.69555035
 0.69789227 0.69867291 0.71038251 0.71116315 0.71428571 0.71506635
 0.72131148 0.72443404 0.72599532 0.72989852 0.73224044 0.735363
 0.73692428 0.73770492 0.74082748 0.74160812 0.74395004 0.74551132
 0.7470726  0.74863388 0.75565964 0.75722092 0.76034348 0.76112412
 0.76424668 0.76502732 0.76736924 0.76893052 0.79156909 0.79391101
 0.79469165 0.79625293 0.79859485 0.79937549 0.85480094 0.86104606
 0.86807182 0.87197502 0.8735363  0.87431694 0.87587822 0.87665886
 0.87822014 0.87900078 0.88290398 0.8852459  0.88680718 0.88758782
 0.8891491  0.89383294 0.8969555  0.89851678 0.90163934 0.90398126
 0.90632319 0.91100703 0.91256831 0.91334895 0.91491023 0.91569087
 0.91725215 0.91959407 0.92349727 0.92505855 0.92974239 0.93208431
 0.93364559 0.93676815 0.94145199 0.99843872 1.        ]
2023-10-04 21:43:35.630824 -> 33.45441818237305 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & [0.         0.00156128 0.00312256 0.00546448 0.00858704 0.01014832
 0.01327088 0.02498048 0.02576112 0.0273224  0.02888368 0.03044496
 0.0312256  0.03278689 0.03434817 0.03590945 0.03903201 0.03981265
 0.04137393 0.04371585 0.04527713 0.04683841 0.05074161 0.05698673
 0.06010929 0.06167057 0.06323185 0.06401249 0.06557377 0.06791569
 0.08040593 0.08196721 0.08587041 0.08977361 0.09836066 0.10070258
 0.37002342 0.37080406 0.37392662 0.37470726 0.38251366 0.38563622
 0.3871975  0.3911007  0.39344262 0.40749415 0.40905543 0.41295863
 0.41451991 0.41530055 0.41686183 0.41920375 0.41998439 0.42310695
 0.42388759 0.42701015 0.43013271 0.43091335 0.43559719 0.43950039
 0.44106167 0.44496487 0.44730679 0.509758   0.51131928 0.5175644
 0.51834504 0.52068696 0.5214676  0.52380952 0.52615144 0.52771272
 0.53161593 0.53473849 0.53942233 0.54176425 0.54488681 0.54644809
 0.54800937 0.55113193 0.55191257 0.55347385 0.55737705 0.55971897
 0.56049961 0.56206089 0.56518345 0.56908665 0.57064793 0.57923497
 0.58001561 0.59953162 0.60187354 0.61046058 0.6167057  0.61982826
 0.62138954 0.62295082 0.62373146 0.62529274 0.62763466 0.62997658
 0.63387978 0.6362217  0.64246682 0.6440281  0.64637002 0.6479313
 0.64871194 0.6518345  0.65339578 0.65495706 0.66120219 0.66510539
 0.66666667 0.66822795 0.66978923 0.67369243 0.67603435 0.68071819
 0.68306011 0.68618267 0.68930523 0.69320843 0.69476971 0.69555035
 0.69789227 0.69867291 0.71038251 0.71116315 0.71428571 0.71506635
 0.72131148 0.72443404 0.72599532 0.72989852 0.73224044 0.735363
 0.73692428 0.73770492 0.74082748 0.74160812 0.74395004 0.74551132
 0.7470726  0.74863388 0.75565964 0.75722092 0.76034348 0.76112412
 0.76424668 0.76502732 0.76736924 0.76893052 0.79156909 0.79391101
 0.79469165 0.79625293 0.79859485 0.79937549 0.85480094 0.86104606
 0.86807182 0.87197502 0.8735363  0.87431694 0.87587822 0.87665886
 0.87822014 0.87900078 0.88290398 0.8852459  0.88680718 0.88758782
 0.8891491  0.89383294 0.8969555  0.89851678 0.90163934 0.90398126
 0.90632319 0.91100703 0.91256831 0.91334895 0.91491023 0.91569087
 0.91725215 0.91959407 0.92349727 0.92505855 0.92974239 0.93208431
 0.93364559 0.93676815 0.94145199 0.99843872 1.        ]
2023-10-04 21:43:35.694029 -> 
GB --  Latency: 8.99815559387207 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: [0.00000000e+00 7.80640125e-04 2.34192037e-03 5.46448087e-03
 1.09289617e-02 1.24902420e-02 1.71740827e-02 2.81030445e-02
 3.04449649e-02 3.43481655e-02 3.66900859e-02 4.29352069e-02
 4.37158470e-02 4.52771272e-02 7.10382514e-02 7.25995316e-02
 7.33801717e-02 7.49414520e-02 9.91412959e-02 1.03044496e-01
 1.06167057e-01 1.07728337e-01 1.77205308e-01 1.78766589e-01
 1.81108509e-01 1.82669789e-01 1.88134270e-01 1.88914910e-01
 1.92037471e-01 1.92818111e-01 2.00624512e-01 2.02185792e-01
 2.16237315e-01 2.17017955e-01 2.18579235e-01 2.21701795e-01
 2.27166276e-01 2.29508197e-01 2.30288837e-01 2.36533958e-01
 2.41217799e-01 2.43559719e-01 2.45120999e-01 2.45901639e-01
 2.49804840e-01 2.50585480e-01 2.92740047e-01 3.73926620e-01
 3.75487900e-01 3.89539422e-01 3.91100703e-01 4.08274785e-01
 4.09055425e-01 4.17642467e-01 4.40281030e-01 4.42622951e-01
 4.44184231e-01 4.44964871e-01 4.54332553e-01 4.55113193e-01
 4.56674473e-01 4.58235753e-01 5.65183450e-01 5.69086651e-01
 5.71428571e-01 5.75331772e-01 5.78454333e-01 5.79234973e-01
 5.83918813e-01 5.86260734e-01 5.87041374e-01 5.88602654e-01
 5.91725215e-01 5.93286495e-01 5.94067135e-01 5.96409055e-01
 5.97189696e-01 5.98750976e-01 5.99531616e-01 6.01092896e-01
 6.01873536e-01 6.03434817e-01 6.06557377e-01 6.12802498e-01
 6.15144418e-01 6.23731460e-01 6.24512100e-01 6.26073380e-01
 6.26854020e-01 6.29976581e-01 6.36221702e-01 6.38563622e-01
 6.40905543e-01 6.44808743e-01 6.47150664e-01 6.49492584e-01
 6.51053864e-01 6.52615144e-01 6.55737705e-01 9.25058548e-01
 9.27400468e-01 9.89071038e-01 9.89851678e-01 9.91412959e-01
 9.94535519e-01 9.95316159e-01 1.00000000e+00]
2023-10-04 21:43:35.695019 -> 8.99815559387207 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & [0.00000000e+00 7.80640125e-04 2.34192037e-03 5.46448087e-03
 1.09289617e-02 1.24902420e-02 1.71740827e-02 2.81030445e-02
 3.04449649e-02 3.43481655e-02 3.66900859e-02 4.29352069e-02
 4.37158470e-02 4.52771272e-02 7.10382514e-02 7.25995316e-02
 7.33801717e-02 7.49414520e-02 9.91412959e-02 1.03044496e-01
 1.06167057e-01 1.07728337e-01 1.77205308e-01 1.78766589e-01
 1.81108509e-01 1.82669789e-01 1.88134270e-01 1.88914910e-01
 1.92037471e-01 1.92818111e-01 2.00624512e-01 2.02185792e-01
 2.16237315e-01 2.17017955e-01 2.18579235e-01 2.21701795e-01
 2.27166276e-01 2.29508197e-01 2.30288837e-01 2.36533958e-01
 2.41217799e-01 2.43559719e-01 2.45120999e-01 2.45901639e-01
 2.49804840e-01 2.50585480e-01 2.92740047e-01 3.73926620e-01
 3.75487900e-01 3.89539422e-01 3.91100703e-01 4.08274785e-01
 4.09055425e-01 4.17642467e-01 4.40281030e-01 4.42622951e-01
 4.44184231e-01 4.44964871e-01 4.54332553e-01 4.55113193e-01
 4.56674473e-01 4.58235753e-01 5.65183450e-01 5.69086651e-01
 5.71428571e-01 5.75331772e-01 5.78454333e-01 5.79234973e-01
 5.83918813e-01 5.86260734e-01 5.87041374e-01 5.88602654e-01
 5.91725215e-01 5.93286495e-01 5.94067135e-01 5.96409055e-01
 5.97189696e-01 5.98750976e-01 5.99531616e-01 6.01092896e-01
 6.01873536e-01 6.03434817e-01 6.06557377e-01 6.12802498e-01
 6.15144418e-01 6.23731460e-01 6.24512100e-01 6.26073380e-01
 6.26854020e-01 6.29976581e-01 6.36221702e-01 6.38563622e-01
 6.40905543e-01 6.44808743e-01 6.47150664e-01 6.49492584e-01
 6.51053864e-01 6.52615144e-01 6.55737705e-01 9.25058548e-01
 9.27400468e-01 9.89071038e-01 9.89851678e-01 9.91412959e-01
 9.94535519e-01 9.95316159e-01 1.00000000e+00]
2023-10-04 21:43:35.816853 -> 
KNN --  Latency: 67.90661811828613 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: [0.         0.92115535 0.92896175 1.        ]
2023-10-04 21:43:35.817863 -> 67.90661811828613 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & [0.         0.92115535 0.92896175 1.        ]
2023-10-04 21:43:36.473252 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:49:27.291291 -> 
DATASET STATISTICS
2023-10-04 21:49:27.292350 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:49:27.293321 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:49:27.294317 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:49:27.294317 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:49:27.295324 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:49:27.381208 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:49:57.634592 -> 
DATASET STATISTICS
2023-10-04 21:49:57.635596 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:49:57.636592 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:49:57.637591 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:49:57.637591 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:49:57.637591 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:49:57.738333 -> 
RF --  Latency: 12.926340103149414 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: [0.00084246 0.0212766 ]
2023-10-04 21:49:57.738333 -> 12.926340103149414 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & [0.00084246 0.0212766 ]
2023-10-04 21:49:57.774225 -> 
LR --  Latency: 1.026153564453125 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: [0.0042123  0.03191489]
2023-10-04 21:49:57.775195 -> 1.026153564453125 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & [0.0042123  0.03191489]
2023-10-04 21:49:57.813665 -> 
DT --  Latency: 0.9980201721191406 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: [0.00505476 0.03191489]
2023-10-04 21:49:57.814633 -> 0.9980201721191406 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & [0.00505476 0.03191489]
2023-10-04 21:49:57.849542 -> 
NB --  Latency: 1.0263919830322266 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: [0.0042123  0.03191489]
2023-10-04 21:49:57.851535 -> 1.0263919830322266 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & [0.0042123  0.03191489]
2023-10-04 21:49:57.985468 -> 
SVM --  Latency: 30.21407127380371 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: [0.0042123  0.03191489]
2023-10-04 21:49:57.986438 -> 30.21407127380371 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & [0.0042123  0.03191489]
2023-10-04 21:49:58.044353 -> 
GB --  Latency: 6.356000900268555 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: [0.00084246 0.0212766 ]
2023-10-04 21:49:58.044353 -> 6.356000900268555 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & [0.00084246 0.0212766 ]
2023-10-04 21:49:58.168036 -> 
KNN --  Latency: 63.840627670288086 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: [0.00084246 0.04255319]
2023-10-04 21:49:58.169002 -> 63.840627670288086 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & [0.00084246 0.04255319]
2023-10-04 21:49:58.383258 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:52:44.658953 -> 
DATASET STATISTICS
2023-10-04 21:52:44.659910 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:52:44.660925 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:52:44.661905 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:52:44.661905 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:52:44.662916 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:52:44.746389 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:53:04.033525 -> 
DATASET STATISTICS
2023-10-04 21:53:04.034522 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:53:04.035519 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:53:04.036494 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:53:04.036494 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:53:04.037514 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:53:04.135973 -> 
RF --  Latency: 12.966156005859375 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.0008424599831508003
2023-10-04 21:53:04.135973 -> 12.966156005859375 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.0008424599831508003
2023-10-04 21:53:04.174869 -> 
LR --  Latency: 0.9975433349609375 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.004212299915754001
2023-10-04 21:53:04.175867 -> 0.9975433349609375 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.004212299915754001
2023-10-04 21:53:04.210773 -> 
DT --  Latency: 0.9970664978027344 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.005054759898904802
2023-10-04 21:53:04.210773 -> 0.9970664978027344 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.005054759898904802
2023-10-04 21:53:04.246678 -> 
NB --  Latency: 0.9973049163818359 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.004212299915754001
2023-10-04 21:53:04.247675 -> 0.9973049163818359 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.004212299915754001
2023-10-04 21:53:04.384311 -> 
SVM --  Latency: 31.90159797668457 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.004212299915754001
2023-10-04 21:53:04.385320 -> 31.90159797668457 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.004212299915754001
2023-10-04 21:53:04.449216 -> 
GB --  Latency: 3.988504409790039 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.0008424599831508003
2023-10-04 21:53:04.449216 -> 3.988504409790039 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.0008424599831508003
2023-10-04 21:53:04.577041 -> 
KNN --  Latency: 65.42444229125977 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.0008424599831508003
2023-10-04 21:53:04.578010 -> 65.42444229125977 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.0008424599831508003
2023-10-04 21:53:04.799079 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 21:56:56.523443 -> 
DATASET STATISTICS
2023-10-04 21:56:56.524441 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 21:56:56.525437 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 21:56:56.526450 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 21:56:56.527433 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 21:56:56.527433 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 21:56:56.630316 -> 
RF --  Latency: 13.962984085083008 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.0008424599831508003
2023-10-04 21:56:56.631314 -> 13.962984085083008 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.0008424599831508003
2023-10-04 21:56:56.670972 -> 
LR --  Latency: 1.0571479797363281 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.004212299915754001
2023-10-04 21:56:56.672002 -> 1.0571479797363281 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.004212299915754001
2023-10-04 21:56:56.711863 -> 
DT --  Latency: 0.9982585906982422 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.005054759898904802
2023-10-04 21:56:56.711863 -> 0.9982585906982422 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.005054759898904802
2023-10-04 21:56:56.751847 -> 
NB --  Latency: 0.9982585906982422 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.004212299915754001
2023-10-04 21:56:56.751847 -> 0.9982585906982422 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.004212299915754001
2023-10-04 21:56:56.884740 -> 
SVM --  Latency: 32.12928771972656 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.004212299915754001
2023-10-04 21:56:56.885703 -> 32.12928771972656 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.004212299915754001
2023-10-04 21:56:56.947575 -> 
GB --  Latency: 4.982948303222656 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.0008424599831508003
2023-10-04 21:56:56.947575 -> 4.982948303222656 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.0008424599831508003
2023-10-04 21:56:57.072633 -> 
KNN --  Latency: 67.92187690734863 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.0008424599831508003
2023-10-04 21:56:57.073660 -> 67.92187690734863 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.0008424599831508003
2023-10-04 21:56:57.296825 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 22:04:21.272889 -> 
DATASET STATISTICS
2023-10-04 22:04:21.274840 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:04:21.275838 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:04:21.276835 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:04:21.276835 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:04:21.277833 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:04:21.379785 -> 
RF --  Latency: 13.004302978515625 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02127659574468085
2023-10-04 22:04:21.379785 -> 13.004302978515625 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02127659574468085
2023-10-04 22:04:21.416689 -> 
LR --  Latency: 1.016855239868164 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.031914893617021274
2023-10-04 22:04:21.417641 -> 1.016855239868164 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.031914893617021274
2023-10-04 22:04:21.453584 -> 
DT --  Latency: 1.039266586303711 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.031914893617021274
2023-10-04 22:04:21.454550 -> 1.039266586303711 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.031914893617021274
2023-10-04 22:04:21.491910 -> 
NB --  Latency: 2.985239028930664 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.031914893617021274
2023-10-04 22:04:21.492865 -> 2.985239028930664 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.031914893617021274
2023-10-04 22:04:21.619279 -> 
SVM --  Latency: 29.995441436767578 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.031914893617021274
2023-10-04 22:04:21.620276 -> 29.995441436767578 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.031914893617021274
2023-10-04 22:04:21.684336 -> 
GB --  Latency: 6.020307540893555 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02127659574468085
2023-10-04 22:04:21.685307 -> 6.020307540893555 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02127659574468085
2023-10-04 22:04:21.806824 -> 
KNN --  Latency: 63.55762481689453 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.0425531914893617
2023-10-04 22:04:21.806824 -> 63.55762481689453 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.0425531914893617
2023-10-04 22:04:22.046365 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 22:05:01.058284 -> 
DATASET STATISTICS
2023-10-04 22:05:01.059281 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:05:01.060280 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:05:01.061277 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:05:01.061277 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:05:01.062273 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:05:01.162007 -> 
RF --  Latency: 12.965202331542969 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:05:01.163007 -> 12.965202331542969 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:05:01.199905 -> 
LR --  Latency: 0.9977817535400391 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:05:01.200903 -> 0.9977817535400391 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:05:01.237804 -> 
DT --  Latency: 0.9977817535400391 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.03191
2023-10-04 22:05:01.237804 -> 0.9977817535400391 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.03191
2023-10-04 22:05:01.274736 -> 
NB --  Latency: 0.9975433349609375 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:05:01.275732 -> 0.9975433349609375 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:05:01.401408 -> 
SVM --  Latency: 30.916213989257812 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:05:01.402366 -> 30.916213989257812 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:05:01.459565 -> 
GB --  Latency: 5.12242317199707 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:05:01.459565 -> 5.12242317199707 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:05:01.582410 -> 
KNN --  Latency: 63.03262710571289 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.04255
2023-10-04 22:05:01.583437 -> 63.03262710571289 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.04255
2023-10-04 22:05:01.808974 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 22:05:30.450214 -> 
DATASET STATISTICS
2023-10-04 22:05:30.452217 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:05:30.453214 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:05:30.454212 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:05:30.454212 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:05:30.454212 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:05:30.552939 -> 
RF --  Latency: 12.93802261352539 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:05:30.552939 -> 12.93802261352539 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:05:30.590850 -> 
LR --  Latency: 1.0304450988769531 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:05:30.591809 -> 1.0304450988769531 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:05:30.628750 -> 
DT --  Latency: 2.0399093627929688 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.03191
2023-10-04 22:05:30.628750 -> 2.0399093627929688 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.03191
2023-10-04 22:05:30.665279 -> 
NB --  Latency: 0.9984970092773438 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:05:30.665279 -> 0.9984970092773438 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:05:30.796119 -> 
SVM --  Latency: 32.0742130279541 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:05:30.796119 -> 32.0742130279541 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:05:30.854962 -> 
GB --  Latency: 5.983829498291016 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:05:30.855960 -> 5.983829498291016 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:05:30.977066 -> 
KNN --  Latency: 64.03613090515137 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.04255
2023-10-04 22:05:30.978034 -> 64.03613090515137 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.04255
2023-10-04 22:05:31.173114 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 22:06:07.484429 -> 
DATASET STATISTICS
2023-10-04 22:06:07.486425 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:06:07.487423 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:06:07.487423 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:06:07.488418 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:06:07.488418 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:06:07.584868 -> 
RF --  Latency: 13.22793960571289 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:06:07.584868 -> 13.22793960571289 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:06:07.622864 -> 
LR --  Latency: 1.093149185180664 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:06:07.622864 -> 1.093149185180664 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:06:07.659766 -> 
DT --  Latency: 1.0187625885009766 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.03191
2023-10-04 22:06:07.659766 -> 1.0187625885009766 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.03191
2023-10-04 22:06:07.694938 -> 
NB --  Latency: 1.024007797241211 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:06:07.695904 -> 1.024007797241211 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:06:07.823330 -> 
SVM --  Latency: 30.09176254272461 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:06:07.823330 -> 30.09176254272461 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:06:07.883269 -> 
GB --  Latency: 5.0296783447265625 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:06:07.884264 -> 5.0296783447265625 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:06:08.018811 -> 
KNN --  Latency: 63.83061408996582 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.04255
2023-10-04 22:06:08.018811 -> 63.83061408996582 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.04255
2023-10-04 22:06:34.787876 -> 
DATASET STATISTICS
2023-10-04 22:06:34.789882 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:06:34.791868 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:06:34.792865 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:06:34.792865 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:06:34.792865 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:06:34.895383 -> 
RF --  Latency: 14.321565628051758 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:06:34.895383 -> 14.321565628051758 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:06:34.935402 -> 
LR --  Latency: 1.0137557983398438 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:06:34.935402 -> 1.0137557983398438 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:06:34.975954 -> 
DT --  Latency: 0.9963512420654297 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.03191
2023-10-04 22:06:34.977112 -> 0.9963512420654297 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.03191
2023-10-04 22:06:35.015013 -> 
NB --  Latency: 0.9970664978027344 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:06:35.016016 -> 0.9970664978027344 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:06:35.155994 -> 
SVM --  Latency: 30.556440353393555 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:06:35.156970 -> 30.556440353393555 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:06:35.219946 -> 
GB --  Latency: 6.990909576416016 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:06:35.219946 -> 6.990909576416016 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:06:35.352145 -> 
KNN --  Latency: 73.20046424865723 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.04255
2023-10-04 22:06:35.352145 -> 73.20046424865723 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.04255
2023-10-04 22:06:52.661054 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 22:08:44.398388 -> 
DATASET STATISTICS
2023-10-04 22:08:44.400381 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:08:44.401378 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:08:44.401378 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:08:44.402376 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:08:44.402376 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:08:44.498121 -> 
RF --  Latency: 12.965679168701172 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:08:44.499119 -> 12.965679168701172 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:08:56.793685 -> 
LR --  Latency: 0.9949207305908203 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:08:56.793685 -> 0.9949207305908203 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:09:00.642942 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 22:10:21.288574 -> 
DATASET STATISTICS
2023-10-04 22:10:21.289625 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:10:21.290623 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:10:21.291621 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:10:21.291621 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:10:21.292593 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:10:21.390508 -> 
RF --  Latency: 12.97903060913086 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:10:21.391477 -> 12.97903060913086 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:10:21.427589 -> 
LR --  Latency: 0.1347064971923828 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:10:21.428555 -> 0.1347064971923828 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:10:21.464485 -> 
DT --  Latency: 0.9980201721191406 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.03191
2023-10-04 22:10:21.465481 -> 0.9980201721191406 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.03191
2023-10-04 22:10:21.497103 -> 
NB --  Latency: 0.9992122650146484 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:10:21.497103 -> 0.9992122650146484 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:10:21.632805 -> 
SVM --  Latency: 29.09064292907715 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-04 22:10:21.632805 -> 29.09064292907715 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-04 22:10:21.701862 -> 
GB --  Latency: 7.099390029907227 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:10:21.702823 -> 7.099390029907227 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:10:21.830228 -> 
KNN --  Latency: 73.4097957611084 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.04255
2023-10-04 22:10:21.831263 -> 73.4097957611084 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.04255
2023-10-04 22:10:27.208074 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 22:11:01.253193 -> 
DATASET STATISTICS
2023-10-04 22:11:01.254191 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:11:01.255187 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:11:01.256188 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:11:01.257183 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:11:01.257183 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:11:01.353088 -> 
RF --  Latency: 13.998270034790039 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:11:01.353088 -> 13.998270034790039 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:11:24.646660 -> 
DATASET STATISTICS
2023-10-04 22:11:24.647685 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:11:24.648654 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:11:24.649651 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:11:24.649651 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:11:24.650678 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:11:24.749702 -> 
RF --  Latency: 12.494802474975586 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:11:24.749702 -> 12.494802474975586 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:21:22.110056 -> 
DATASET STATISTICS
2023-10-04 22:21:22.111052 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:21:22.112049 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:21:22.113020 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:21:22.312582 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:21:22.313540 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:21:22.420849 -> !!! 

ERROR BENCHMARKING THE CLASSIFIERS

2023-10-04 22:27:23.798497 -> 
DATASET STATISTICS
2023-10-04 22:27:23.800464 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:27:23.800464 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:27:23.801504 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:27:24.007000 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:27:24.007998 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:27:24.225114 -> 
RF --  Latency: 15.158414840698242 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:27:24.226182 -> 15.158414840698242 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:51:57.564511 -> 
DATASET STATISTICS
2023-10-04 22:51:57.566515 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:51:57.567515 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:51:57.568512 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:51:57.811554 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:51:57.812513 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:51:58.030514 -> 
RF --  Latency: 15.955209732055664 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:51:58.030514 -> 15.955209732055664 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:52:09.872796 -> 
DATASET STATISTICS
2023-10-04 22:52:09.874791 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:52:09.875787 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:52:09.875787 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:52:10.074075 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:52:10.074075 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:52:10.286746 -> 
RF --  Latency: 14.889955520629883 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:52:10.287746 -> 14.889955520629883 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:52:50.122036 -> 
DATASET STATISTICS
2023-10-04 22:52:50.123099 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:52:50.124072 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:52:50.125109 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:52:50.316717 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:52:50.316717 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:52:50.541140 -> 
RF --  Latency: 15.928983688354492 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:52:50.541140 -> 15.928983688354492 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-04 22:54:35.128816 -> 
DATASET STATISTICS
2023-10-04 22:54:35.130810 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-04 22:54:35.131808 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-04 22:54:35.131808 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-04 22:54:35.325512 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-04 22:54:35.325512 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-04 22:54:35.543898 -> 
RF --  Latency: 15.917301177978516 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-04 22:54:35.544896 -> 15.917301177978516 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-05 05:57:38.248034 -> 
DATASET STATISTICS
2023-10-05 05:57:38.268392 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-05 05:57:38.269393 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-05 05:57:38.270391 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-05 05:57:38.668851 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 05:57:38.668851 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 05:57:38.915381 -> 
RF --  Latency: 20.66969871520996 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-05 05:57:38.915381 -> 20.66969871520996 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-05 05:59:17.031299 -> 
DATASET STATISTICS
2023-10-05 05:59:17.032296 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-05 05:59:17.033299 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-05 05:59:17.033299 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-05 05:59:17.244051 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 05:59:17.244051 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 05:59:17.458778 -> 
RF --  Latency: 13.977527618408203 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-05 05:59:17.458778 -> 13.977527618408203 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-05 06:00:22.084824 -> 
DATASET STATISTICS
2023-10-05 06:00:22.085827 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-05 06:00:22.086819 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-05 06:00:22.087816 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-05 06:00:22.284627 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 06:00:22.284627 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 06:00:22.397952 -> 
RF --  Latency: 14.963150024414062 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-05 06:00:22.397952 -> 14.963150024414062 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-05 06:01:07.223037 -> 
DATASET STATISTICS
2023-10-05 06:01:07.224034 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-05 06:01:07.225032 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-05 06:01:07.226049 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-05 06:01:07.419402 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 06:01:07.419402 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 06:01:07.541571 -> 
RF --  Latency: 18.949508666992188 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-05 06:01:07.541571 -> 18.949508666992188 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-05 06:01:07.584665 -> 
LR --  Latency: 1.9931793212890625 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-05 06:01:07.584665 -> 1.9931793212890625 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-05 06:01:07.626308 -> 
DT --  Latency: 2.270221710205078 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.03191
2023-10-05 06:01:07.626308 -> 2.270221710205078 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.03191
2023-10-05 06:01:07.673378 -> 
NB --  Latency: 1.9946098327636719 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-05 06:01:07.674376 -> 1.9946098327636719 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-05 06:01:07.806788 -> 
SVM --  Latency: 35.948991775512695 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-05 06:01:07.806788 -> 35.948991775512695 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-05 06:01:07.883394 -> 
GB --  Latency: 4.98652458190918 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-05 06:01:07.884391 -> 4.98652458190918 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-05 06:01:08.018990 -> 
KNN --  Latency: 60.89615821838379 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.04255
2023-10-05 06:01:08.018990 -> 60.89615821838379 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.04255
2023-10-05 06:07:44.192128 -> 
DATASET STATISTICS
2023-10-05 06:07:44.197133 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-05 06:07:44.198133 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-05 06:07:44.198133 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-05 06:07:44.478166 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 06:07:44.479163 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 06:07:44.586455 -> 
RF --  Latency: 14.043807983398438 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-05 06:07:44.586455 -> 14.043807983398438 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-05 06:07:44.645841 -> 
LR --  Latency: 1.9924640655517578 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-05 06:07:44.645841 -> 1.9924640655517578 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-05 06:07:44.694968 -> 
DT --  Latency: 2.013683319091797 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.03191
2023-10-05 06:07:44.695995 -> 2.013683319091797 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.03191
2023-10-05 06:07:44.744474 -> 
NB --  Latency: 0.9970664978027344 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-05 06:07:44.745471 -> 0.9970664978027344 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-05 06:07:44.882659 -> 
SVM --  Latency: 31.95023536682129 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.03191
2023-10-05 06:07:44.883657 -> 31.95023536682129 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.03191
2023-10-05 06:07:44.981098 -> 
GB --  Latency: 5.019426345825195 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.02128
2023-10-05 06:07:44.982098 -> 5.019426345825195 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.02128
2023-10-05 06:07:45.143807 -> 
KNN --  Latency: 82.40604400634766 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.04255
2023-10-05 06:07:45.143807 -> 82.40604400634766 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.04255
2023-10-05 06:21:46.160783 -> 
DATASET STATISTICS
2023-10-05 06:21:46.161781 -> Train {'len': 1281, 'features': 6, 'count': label
M    1187
B      94
Name: count, dtype: int64}
2023-10-05 06:21:46.162779 -> Validation {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-05 06:21:46.163748 -> Test {'len': 275, 'features': 6, 'count': label
M    250
B     25
Name: count, dtype: int64}
2023-10-05 06:21:46.369504 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 06:21:46.370500 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 06:21:46.504190 -> 
RF --  Latency: 18.961429595947266 milliseconds / AUC: 0.9978 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.0213
2023-10-05 06:21:46.505187 -> 18.961429595947266 milliseconds & 0.9978 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.0213
2023-10-05 06:21:46.549829 -> 
LR --  Latency: 1.9946098327636719 milliseconds / AUC: 0.9951 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.0319
2023-10-05 06:21:46.550814 -> 1.9946098327636719 milliseconds & 0.9951 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.0319
2023-10-05 06:21:46.594308 -> 
DT --  Latency: 0.9982585906982422 milliseconds / AUC: 0.9957 / Recall: 0.9949 / Precision: 0.9975 / F1-Score: 0.9962 / Accuracy: 0.993 / False Positive Rate: 0.0319
2023-10-05 06:21:46.595267 -> 0.9982585906982422 milliseconds & 0.9957 & 0.9949 & 0.9975 & 0.9962 & 0.993 & 0.0319
2023-10-05 06:21:46.645135 -> 
NB --  Latency: 1.9936561584472656 milliseconds / AUC: 0.9788 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.0319
2023-10-05 06:21:46.645135 -> 1.9936561584472656 milliseconds & 0.9788 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.0319
2023-10-05 06:21:46.769007 -> 
SVM --  Latency: 31.450748443603516 milliseconds / AUC: 0.9909 / Recall: 0.9958 / Precision: 0.9975 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.0319
2023-10-05 06:21:46.769977 -> 31.450748443603516 milliseconds & 0.9909 & 0.9958 & 0.9975 & 0.9966 & 0.9938 & 0.0319
2023-10-05 06:21:46.840538 -> 
GB --  Latency: 4.6024322509765625 milliseconds / AUC: 0.9981 / Recall: 0.9992 / Precision: 0.9983 / F1-Score: 0.9987 / Accuracy: 0.9977 / False Positive Rate: 0.0213
2023-10-05 06:21:46.841496 -> 4.6024322509765625 milliseconds & 0.9981 & 0.9992 & 0.9983 & 0.9987 & 0.9977 & 0.0213
2023-10-05 06:21:46.953241 -> 
KNN --  Latency: 60.9130859375 milliseconds / AUC: 0.9941 / Recall: 0.9992 / Precision: 0.9966 / F1-Score: 0.9979 / Accuracy: 0.9961 / False Positive Rate: 0.0426
2023-10-05 06:21:46.954453 -> 60.9130859375 milliseconds & 0.9941 & 0.9992 & 0.9966 & 0.9979 & 0.9961 & 0.0426

2023-10-05 14:58:36.062606 -> Reading data from CSV ...
2023-10-05 14:58:36.097565 -> Data cleaning completed. Removed 0 records.
2023-10-05 14:58:36.098522 -> 1831 records remaining.
2023-10-05 14:58:36.100513 -> SPLITTING DATA
2023-10-05 14:58:36.111320 -> SAVING DATA
2023-10-05 14:58:36.138686 -> ----- Done Splitting data -----
2023-10-05 14:58:36.164919 -> 
DATASET STATISTICS
2023-10-05 14:58:36.168212 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-05 14:58:36.170715 -> Validation {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-05 14:58:36.173517 -> Test {'len': 275, 'features': 6, 'count': label
M    249
B     26
Name: count, dtype: int64}
2023-10-05 14:58:36.174573 -> 

---- TRAINING CLASSIFIERS ----
2023-10-05 14:58:36.175969 -> TRAINING: Random Forest
2023-10-05 15:05:35.039489 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.039489 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.055117 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.070751 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.070751 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.070751 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.070751 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.070751 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.070751 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.070751 -> 0.9922 (+/-0.013) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.070751 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.070751 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0103) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.086357 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.086357 -> 0.9922 (+/-0.013) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.086357 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.086357 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.086357 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.086357 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0103) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.086357 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.086357 -> 0.9922 (+/-0.011) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0125) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.086357 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.086357 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.086357 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0103) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.086357 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.101980 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.101980 -> 0.993 (+/-0.0103) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.101980 -> 0.993 (+/-0.0143) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.103670 -> 0.9922 (+/-0.0085) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.103670 -> 0.993 (+/-0.0103) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.103670 -> 0.9938 (+/-0.0117) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.106094 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.107184 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.107184 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.108267 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.108267 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.108267 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.110309 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.111371 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.118418 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.118418 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.118418 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.118418 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.118418 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.118418 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.118418 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.118418 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.124952 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.126056 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.127214 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.127724 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.127724 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.127724 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.127724 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.127724 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.127724 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.127724 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.127724 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.134268 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.134268 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.134268 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.134268 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0103) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.134268 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0103) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.134268 -> 0.9922 (+/-0.013) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.134268 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.134268 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.134268 -> 0.993 (+/-0.0103) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.134268 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.134268 -> 0.9922 (+/-0.013) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.149939 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.149939 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.149939 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.149939 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.149939 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.149939 -> 0.9922 (+/-0.011) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0125) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.149939 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.149939 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.149939 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.149939 -> 0.993 (+/-0.0103) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.165557 -> 0.993 (+/-0.0103) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.167070 -> 0.993 (+/-0.0103) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.168163 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.169224 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.169224 -> 0.993 (+/-0.0143) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.169224 -> 0.993 (+/-0.0103) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.169224 -> 0.9938 (+/-0.0117) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.169224 -> 0.993 (+/-0.0103) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.169224 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.181229 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.181229 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.181229 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.181229 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.181229 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.196856 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.196856 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.196856 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.196856 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.196856 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.196856 -> 0.9922 (+/-0.013) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.196856 -> 0.9922 (+/-0.013) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.196856 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.196856 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.196856 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.212477 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.212477 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.212477 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.212477 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.212477 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.212477 -> 0.9922 (+/-0.011) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.212477 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.212477 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.212477 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.212477 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.212477 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.212477 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.222483 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.222483 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.222483 -> 0.993 (+/-0.0125) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.222483 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.222483 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.222483 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.222483 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.228489 -> 0.993 (+/-0.0103) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.228489 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.228489 -> 0.9922 (+/-0.013) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.228489 -> 0.993 (+/-0.0143) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.228489 -> 0.993 (+/-0.0103) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.228489 -> 0.9922 (+/-0.013) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.234353 -> 0.9922 (+/-0.013) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.235600 -> 0.9938 (+/-0.0117) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.236140 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.236140 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.238053 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.239196 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.239703 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.239703 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.239703 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.239703 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.244214 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.244214 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.244214 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.244214 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.244214 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.249211 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.249211 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.251101 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.252168 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.252168 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.253415 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.253415 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.253415 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.256102 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.256650 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.256650 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.256650 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.256650 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.260157 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.260157 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.260157 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.263121 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.263662 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.264696 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.264696 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.266391 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.266391 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.268077 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.268626 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.269760 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.270306 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.271344 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.271344 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.273588 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.273588 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.276097 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.276097 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.278270 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.278270 -> 0.993 (+/-0.0103) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.278270 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.278270 -> 0.993 (+/-0.0103) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.282030 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.282030 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.282030 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.285034 -> 0.9922 (+/-0.013) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.285034 -> 0.9922 (+/-0.013) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.287761 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.287761 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.287761 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.287761 -> 0.9922 (+/-0.011) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.291766 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.293170 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.294362 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.294362 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.294362 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.294362 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.294362 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.294362 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.294362 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.294362 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.294362 -> 0.993 (+/-0.0125) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.294362 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.294362 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.294362 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.294362 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:05:35.294362 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:05:35.307873 -> 0.9938 (+/-0.0117) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:05:35.307873 -> 0.9922 (+/-0.013) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:05:35.307873 -> 0.9922 (+/-0.013) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:05:35.307873 -> 0.993 (+/-0.0103) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:05:35.307873 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:05:35.307873 -> 0.993 (+/-0.0103) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:05:35.307873 -> 0.993 (+/-0.0143) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:05:35.307873 -> BEST PARAMS for Random Forest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}

2023-10-05 15:05:35.394970 -> Train time for Random Forest: 6.986983338991801 min
2023-10-05 15:05:35.402970 -> TRAINING: Decision Tree
2023-10-05 15:05:48.029661 -> 0.9899 (+/-0.0168) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.029661 -> 0.9906 (+/-0.0127) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.029661 -> 0.9875 (+/-0.0159) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.029661 -> 0.9906 (+/-0.0117) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.029661 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.029661 -> 0.9906 (+/-0.0106) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.029661 -> 0.9867 (+/-0.0161) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.029661 -> 0.9899 (+/-0.0127) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.040756 -> 0.9875 (+/-0.0167) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.041814 -> 0.9906 (+/-0.0144) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.041814 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.041814 -> 0.9922 (+/-0.0098) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.041814 -> 0.9914 (+/-0.0115) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.044971 -> 0.9875 (+/-0.0151) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.044971 -> 0.9906 (+/-0.0136) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.046332 -> 0.9867 (+/-0.0136) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.046332 -> 0.9906 (+/-0.0136) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.046332 -> 0.9891 (+/-0.0159) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.046332 -> 0.9899 (+/-0.0168) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.046332 -> 0.9914 (+/-0.0115) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.046332 -> 0.9875 (+/-0.0159) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.046332 -> 0.9906 (+/-0.0106) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.046332 -> 0.9899 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.046332 -> 0.993 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.046332 -> 0.986 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.046332 -> 0.9906 (+/-0.0117) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.046332 -> 0.9883 (+/-0.0156) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.046332 -> 0.9891 (+/-0.0151) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.057835 -> 0.9899 (+/-0.0136) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.057835 -> 0.9906 (+/-0.0116) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.9914 (+/-0.0115) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.059168 -> 0.9891 (+/-0.0181) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.9922 (+/-0.013) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.059168 -> 0.9867 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.993 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.059168 -> 0.9906 (+/-0.0144) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.059168 -> 0.9906 (+/-0.0117) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.9891 (+/-0.0159) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.059168 -> 0.9899 (+/-0.0136) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.9899 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.059168 -> 0.9914 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.9875 (+/-0.0151) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.059168 -> 0.9922 (+/-0.011) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.9891 (+/-0.0159) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.059168 -> 0.9891 (+/-0.018) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.059168 -> 0.9891 (+/-0.0151) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.072718 -> 0.9914 (+/-0.0134) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.074425 -> 0.993 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.075095 -> 0.9891 (+/-0.0115) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.075095 -> 0.9914 (+/-0.0151) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.075095 -> 0.9883 (+/-0.0139) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.077726 -> 0.9922 (+/-0.0148) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.077726 -> 0.9906 (+/-0.0136) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.077726 -> 0.9891 (+/-0.0167) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.077726 -> 0.9891 (+/-0.0159) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.077726 -> 0.9883 (+/-0.0156) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.077726 -> 0.9891 (+/-0.0134) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.077726 -> 0.9899 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.077726 -> 0.993 (+/-0.0103) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.077726 -> 0.986 (+/-0.0175) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.077726 -> 0.9906 (+/-0.0127) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.077726 -> 0.9875 (+/-0.0151) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.077726 -> 0.9914 (+/-0.0159) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.077726 -> 0.9899 (+/-0.0161) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.077726 -> 0.9922 (+/-0.011) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.088773 -> 0.9922 (+/-0.013) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.090093 -> 0.9813 (+/-0.0272) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.090800 -> 0.9922 (+/-0.013) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.091279 -> 0.9883 (+/-0.013) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.091279 -> 0.993 (+/-0.0125) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.093273 -> 0.9883 (+/-0.0177) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.093822 -> 0.9906 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.093822 -> 0.9914 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.093822 -> 0.9891 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.093822 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.093822 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.093822 -> 0.9922 (+/-0.0139) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.093822 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.093822 -> 0.9899 (+/-0.0152) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.093822 -> 0.9883 (+/-0.013) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.093822 -> 0.9906 (+/-0.0106) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.093822 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.093822 -> 0.993 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.093822 -> 0.9922 (+/-0.013) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.104870 -> 0.993 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.104870 -> 0.9906 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.104870 -> 0.9883 (+/-0.0203) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.107386 -> 0.9914 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.107938 -> 0.9899 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.107938 -> 0.9906 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.107938 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.107938 -> 0.9899 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.107938 -> 0.9914 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.107938 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.107938 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.107938 -> 0.9891 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.107938 -> 0.9899 (+/-0.0152) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.107938 -> 0.9891 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.107938 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.107938 -> 0.9914 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.107938 -> 0.9899 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.107938 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.107938 -> 0.9906 (+/-0.0188) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.107938 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.120996 -> 0.9899 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.120996 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.120996 -> 0.9891 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.124055 -> 0.9906 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.124534 -> 0.9922 (+/-0.0139) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.125947 -> 0.9899 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.125947 -> 0.9906 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.127226 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.127774 -> 0.9922 (+/-0.0085) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.127774 -> 0.9899 (+/-0.0117) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.127774 -> 0.9914 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.127774 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.127774 -> 0.9883 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.127774 -> 0.9914 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.127774 -> 0.9906 (+/-0.0116) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.127774 -> 0.9914 (+/-0.0151) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.127774 -> 0.9922 (+/-0.013) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.127774 -> 0.9914 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.127774 -> 0.9914 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.136819 -> 0.993 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.136819 -> 0.986 (+/-0.0189) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.136819 -> 0.9906 (+/-0.0145) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.136819 -> 0.9906 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.140761 -> 0.9899 (+/-0.0136) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.141142 -> 0.9914 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.141142 -> 0.9914 (+/-0.0125) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.142415 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.142415 -> 0.9883 (+/-0.013) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.142415 -> 0.9891 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.142415 -> 0.9891 (+/-0.0115) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.142415 -> 0.9906 (+/-0.0126) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.142415 -> 0.9914 (+/-0.0103) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.142415 -> 0.9906 (+/-0.0126) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.142415 -> 0.9922 (+/-0.011) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.142415 -> 0.9883 (+/-0.0178) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.142415 -> 0.9922 (+/-0.0148) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.142415 -> 0.9922 (+/-0.013) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.142415 -> 0.9914 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.142415 -> 0.9875 (+/-0.0091) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.152957 -> 0.9906 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.154295 -> 0.9899 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.154843 -> 0.9899 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.154843 -> 0.9906 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.154843 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.157821 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.157821 -> 0.9906 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.159658 -> 0.9891 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.160198 -> 0.9883 (+/-0.013) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.160198 -> 0.9906 (+/-0.0144) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.160198 -> 0.9906 (+/-0.0126) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.160198 -> 0.9891 (+/-0.0091) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.160198 -> 0.9922 (+/-0.013) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.160198 -> 0.9922 (+/-0.0148) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.160198 -> 0.9922 (+/-0.013) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.160198 -> 0.9922 (+/-0.013) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.160198 -> 0.993 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.160198 -> 0.9891 (+/-0.0159) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.168746 -> 0.9906 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.168746 -> 0.9891 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.168746 -> 0.9899 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.168746 -> 0.9906 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.168746 -> 0.9906 (+/-0.0127) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.168746 -> 0.9922 (+/-0.013) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.168746 -> 0.9899 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.174622 -> 0.9899 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.174622 -> 0.9899 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.175959 -> 0.9906 (+/-0.0116) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.175959 -> 0.9914 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.177901 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.178463 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.178463 -> 0.9828 (+/-0.0306) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.178463 -> 0.993 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.178463 -> 0.9899 (+/-0.0105) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.178463 -> 0.9922 (+/-0.0148) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.178463 -> 0.9914 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.178463 -> 0.9906 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.184467 -> 0.9899 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.184467 -> 0.9891 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.184467 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.184467 -> 0.9906 (+/-0.0127) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.184467 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.184467 -> 0.9891 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.184467 -> 0.9906 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.184467 -> 0.9899 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.191301 -> 0.9891 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.191301 -> 0.9906 (+/-0.0126) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.192647 -> 0.9922 (+/-0.011) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.192647 -> 0.9914 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.192647 -> 0.9906 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.192647 -> 0.9914 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.192647 -> 0.9867 (+/-0.0144) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.192647 -> 0.9914 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.192647 -> 0.9875 (+/-0.0151) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.192647 -> 0.9906 (+/-0.0145) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.192647 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.200198 -> 0.9899 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.200198 -> 0.9899 (+/-0.0136) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.200198 -> 0.9914 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.200198 -> 0.9899 (+/-0.0168) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.200198 -> 0.9891 (+/-0.0115) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.200198 -> 0.9899 (+/-0.0105) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.200198 -> 0.9906 (+/-0.0117) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.200198 -> 0.9899 (+/-0.0126) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.207409 -> 0.9914 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.208018 -> 0.9914 (+/-0.0159) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.209389 -> 0.9922 (+/-0.0148) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-05 15:05:48.209389 -> 0.9899 (+/-0.0152) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-05 15:05:48.209389 -> 0.993 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-05 15:05:48.209389 -> 0.9922 (+/-0.013) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-05 15:05:48.209389 -> 0.993 (+/-0.0125) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-05 15:05:48.209389 -> 0.9914 (+/-0.0134) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-05 15:05:48.209389 -> BEST PARAMS for Decision Tree: {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}

2023-10-05 15:05:48.215936 -> Train time for Decision Tree: 0.2135494351387024 min
2023-10-05 15:05:48.215936 -> TRAINING: Support Vector Machine
2023-10-05 15:06:02.014080 -> 0.9118 (+/-0.0246) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9282 (+/-0.0037) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9251 (+/-0.0074) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9938 (+/-0.0117) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9157 (+/-0.0142) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9938 (+/-0.0117) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.8907 (+/-0.0331) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9938 (+/-0.0117) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9032 (+/-0.0213) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9282 (+/-0.0037) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.8704 (+/-0.0228) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9938 (+/-0.0117) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.872 (+/-0.024) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9938 (+/-0.0117) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.8579 (+/-0.0273) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9938 (+/-0.0117) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9016 (+/-0.0245) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.9867 (+/-0.0106) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.014080 -> 0.8657 (+/-0.0188) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.029694 -> 0.9938 (+/-0.0117) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.029694 -> 0.8595 (+/-0.0327) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.029694 -> 0.9938 (+/-0.0117) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.029694 -> 0.8572 (+/-0.0264) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-05 15:06:02.029694 -> 0.9938 (+/-0.0117) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-05 15:06:02.029694 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}

2023-10-05 15:06:02.029694 -> Train time for Support Vector Machine: 0.2302293101946513 min
2023-10-05 15:06:02.029694 -> TRAINING: Logistic Regression
2023-10-05 15:06:05.620745 -> 0.8634 (+/-0.0294) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-05 15:06:05.620745 -> 0.9282 (+/-0.0037) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-10-05 15:06:05.620745 -> 0.9282 (+/-0.0037) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-10-05 15:06:05.624900 -> 0.9867 (+/-0.0188) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-05 15:06:05.624900 -> 0.9899 (+/-0.0126) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-05 15:06:05.624900 -> 0.9891 (+/-0.0125) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-05 15:06:05.624900 -> 0.9891 (+/-0.0125) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-05 15:06:05.624900 -> 0.9282 (+/-0.0037) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-05 15:06:05.624900 -> 0.9914 (+/-0.0134) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-05 15:06:05.636408 -> 0.9282 (+/-0.0037) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-10-05 15:06:05.636408 -> 0.9891 (+/-0.0125) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-05 15:06:05.636408 -> 0.9282 (+/-0.0037) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-10-05 15:06:05.636408 -> 0.9914 (+/-0.0134) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-05 15:06:05.636408 -> 0.9282 (+/-0.0037) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-10-05 15:06:05.636408 -> 0.9914 (+/-0.0134) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-05 15:06:05.640978 -> 0.9282 (+/-0.0037) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-10-05 15:06:05.640978 -> BEST PARAMS for Logistic Regression: {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}

2023-10-05 15:06:05.640978 -> Train time for Logistic Regression: 0.06018805503845215 min
2023-10-05 15:06:05.640978 -> TRAINING: Naive Bayes
2023-10-05 15:06:05.943753 -> 0.9914 (+/-0.0103) for {'var_smoothing': 1e-09}
2023-10-05 15:06:05.943753 -> 0.9914 (+/-0.0103) for {'var_smoothing': 1e-08}
2023-10-05 15:06:05.943753 -> 0.9914 (+/-0.0103) for {'var_smoothing': 1e-07}
2023-10-05 15:06:05.943753 -> 0.9914 (+/-0.0103) for {'var_smoothing': 1e-06}
2023-10-05 15:06:05.943753 -> 0.9914 (+/-0.0103) for {'var_smoothing': 1e-05}
2023-10-05 15:06:05.943753 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-09}

2023-10-05 15:06:05.954320 -> Train time for Naive Bayes: 0.0052223801612854 min
2023-10-05 15:06:05.956583 -> TRAINING: Gradient Boosting
2023-10-05 15:13:48.756115 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.757140 -> 0.9922 (+/-0.011) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.757140 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.758154 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.758154 -> 0.9922 (+/-0.011) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.758154 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.759649 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.760190 -> 0.9922 (+/-0.011) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.760190 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.761291 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.761291 -> 0.993 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.762480 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.762480 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.763497 -> 0.993 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.763497 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.764503 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.764503 -> 0.993 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.764503 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.765995 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.765995 -> 0.993 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.767035 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.767538 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.767538 -> 0.993 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.768590 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.769093 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.769093 -> 0.993 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.770134 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.770640 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.770640 -> 0.9899 (+/-0.0127) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.771712 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.772217 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.772217 -> 0.9899 (+/-0.0127) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.773294 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.773294 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.774334 -> 0.9899 (+/-0.0127) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.774334 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.775358 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.775358 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.776423 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.776927 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.776927 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.777977 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.778481 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.778481 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.779533 -> 0.9922 (+/-0.011) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.780037 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.780037 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.781056 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.781562 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.781562 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.782610 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.783116 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.783789 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.783789 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.784807 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.784807 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.784807 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.786152 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.786152 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.787203 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.787203 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.790556 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.791340 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.792425 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.792425 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.793427 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.793427 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.794483 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.795460 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.795659 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.796657 -> 0.9891 (+/-0.0159) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.796657 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.797655 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.797655 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.798654 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.799654 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.800649 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.800649 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.801860 -> 0.9282 (+/-0.0037) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.802858 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.803898 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.803898 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.804890 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.805890 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.806848 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.807845 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.807995 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.808993 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.808993 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.810047 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.811033 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.811989 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.812983 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.812983 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.814206 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.815205 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.815205 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.816239 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.817235 -> 0.993 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.818197 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.818197 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.819232 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.820232 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.821189 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.821189 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.822223 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.823226 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.824182 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.825217 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.825217 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.826175 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.827175 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.827175 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.828207 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.829166 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.830202 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.830202 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.831189 -> 0.993 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.832159 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.832159 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.833156 -> 0.993 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.834154 -> 0.993 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.834154 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.835188 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.836147 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.837190 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.837190 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.838180 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.839141 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.839141 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.840137 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.841137 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.841137 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.842167 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.843129 -> 0.9922 (+/-0.011) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.844173 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.844173 -> 0.9891 (+/-0.0167) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.845163 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.846122 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.846122 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.847119 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.848118 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.849151 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.849151 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.850111 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.851146 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.851146 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.852143 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.853105 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.853105 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.854104 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.855100 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.855100 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.856132 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.857094 -> 0.9906 (+/-0.0117) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.858091 -> 0.9914 (+/-0.0103) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.858091 -> 0.9906 (+/-0.0117) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.859089 -> 0.9906 (+/-0.0117) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.860122 -> 0.9914 (+/-0.0103) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.860257 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.861258 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.862285 -> 0.9914 (+/-0.0103) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.862285 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.863256 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.864285 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.864285 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.865245 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.866242 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.866242 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.867283 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.868236 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.869273 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.869273 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.870233 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.871269 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.871269 -> 0.993 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.872230 -> 0.993 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.873224 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.873224 -> 0.993 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.874257 -> 0.993 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.875218 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.875218 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.876216 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.877211 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.878247 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.878247 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.879247 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.880242 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.880242 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.881239 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.882200 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.882200 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.883276 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.884324 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.884324 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.885365 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.886320 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.886320 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.887350 -> 0.993 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.888314 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.888314 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.889352 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.889352 -> 0.993 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.890345 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.891305 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.891305 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.892306 -> 0.993 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.892306 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.893467 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.893467 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.894467 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.894467 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.895501 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.896495 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.896495 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.897458 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.897458 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.898456 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.898456 -> 0.9899 (+/-0.0168) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.899486 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.899486 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.900489 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.900489 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.901481 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.901481 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.902478 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.903478 -> 0.9914 (+/-0.0159) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.903478 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.904475 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.904475 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.905436 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.905436 -> 0.9906 (+/-0.0145) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.906433 -> 0.9906 (+/-0.0182) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.906433 -> 0.9922 (+/-0.0139) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.907431 -> 0.9906 (+/-0.0117) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-05 15:13:48.907431 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-05 15:13:48.908432 -> 0.9914 (+/-0.0103) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-05 15:13:48.908432 -> 0.9906 (+/-0.0117) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-05 15:13:48.909425 -> 0.9914 (+/-0.0103) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-05 15:13:48.909425 -> 0.9914 (+/-0.0103) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-05 15:13:48.910423 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-05 15:13:48.910423 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-05 15:13:48.911422 -> 0.9922 (+/-0.011) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-05 15:13:48.911422 -> BEST PARAMS for Gradient Boosting: {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}

2023-10-05 15:13:48.922458 -> Train time for Gradient Boosting: 7.716064659754435 min
2023-10-05 15:13:48.923456 -> TRAINING: K Nearest Neighbors
2023-10-05 15:13:50.295669 -> 0.993 (+/-0.0125) for {'n_neighbors': 3, 'p': 1, 'weights': 'uniform'}
2023-10-05 15:13:50.295669 -> 0.9922 (+/-0.011) for {'n_neighbors': 3, 'p': 1, 'weights': 'distance'}
2023-10-05 15:13:50.296660 -> 0.993 (+/-0.0125) for {'n_neighbors': 3, 'p': 2, 'weights': 'uniform'}
2023-10-05 15:13:50.296660 -> 0.9922 (+/-0.011) for {'n_neighbors': 3, 'p': 2, 'weights': 'distance'}
2023-10-05 15:13:50.297711 -> 0.9922 (+/-0.0148) for {'n_neighbors': 5, 'p': 1, 'weights': 'uniform'}
2023-10-05 15:13:50.297711 -> 0.9922 (+/-0.011) for {'n_neighbors': 5, 'p': 1, 'weights': 'distance'}
2023-10-05 15:13:50.298751 -> 0.993 (+/-0.0125) for {'n_neighbors': 5, 'p': 2, 'weights': 'uniform'}
2023-10-05 15:13:50.299256 -> 0.9922 (+/-0.011) for {'n_neighbors': 5, 'p': 2, 'weights': 'distance'}
2023-10-05 15:13:50.299256 -> 0.9922 (+/-0.013) for {'n_neighbors': 7, 'p': 1, 'weights': 'uniform'}
2023-10-05 15:13:50.299256 -> 0.9922 (+/-0.011) for {'n_neighbors': 7, 'p': 1, 'weights': 'distance'}
2023-10-05 15:13:50.300661 -> 0.9938 (+/-0.0117) for {'n_neighbors': 7, 'p': 2, 'weights': 'uniform'}
2023-10-05 15:13:50.300661 -> 0.993 (+/-0.0125) for {'n_neighbors': 7, 'p': 2, 'weights': 'distance'}
2023-10-05 15:13:50.300661 -> 0.9922 (+/-0.013) for {'n_neighbors': 10, 'p': 1, 'weights': 'uniform'}
2023-10-05 15:13:50.302119 -> 0.993 (+/-0.0125) for {'n_neighbors': 10, 'p': 1, 'weights': 'distance'}
2023-10-05 15:13:50.302119 -> 0.993 (+/-0.0103) for {'n_neighbors': 10, 'p': 2, 'weights': 'uniform'}
2023-10-05 15:13:50.303168 -> 0.993 (+/-0.0125) for {'n_neighbors': 10, 'p': 2, 'weights': 'distance'}
2023-10-05 15:13:50.303168 -> BEST PARAMS for K Nearest Neighbors: {'n_neighbors': 7, 'p': 2, 'weights': 'uniform'}

2023-10-05 15:13:50.306055 -> Train time for K Nearest Neighbors: 0.02304331064224243 min
2023-10-05 15:13:50.307086 -> Training time: 15.235524682203929 min
2023-10-05 15:13:50.307086 -> ----- Done training classifiers -----
2023-10-05 15:13:51.066096 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 15:13:51.066096 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 15:13:51.202124 -> 
RF --  Latency: 13.672590255737305 milliseconds / AUC: 0.9961 / Recall: 0.9975 / Precision: 0.9958 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.0543
2023-10-05 15:13:51.203121 -> 13.672590255737305 milliseconds & 0.9961 & 0.9975 & 0.9958 & 0.9966 & 0.9938 & 0.0543
2023-10-05 15:13:51.261964 -> 
LR --  Latency: 1.9946098327636719 milliseconds / AUC: 0.9931 / Recall: 0.9966 / Precision: 0.9966 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.0435
2023-10-05 15:13:51.261964 -> 1.9946098327636719 milliseconds & 0.9931 & 0.9966 & 0.9966 & 0.9966 & 0.9938 & 0.0435
2023-10-05 15:13:51.347824 -> 
DT --  Latency: 0.9973049163818359 milliseconds / AUC: 0.9969 / Recall: 1.0 / Precision: 0.995 / F1-Score: 0.9975 / Accuracy: 0.9953 / False Positive Rate: 0.0652
2023-10-05 15:13:51.348374 -> 0.9973049163818359 milliseconds & 0.9969 & 1.0 & 0.995 & 0.9975 & 0.9953 & 0.0652
2023-10-05 15:13:51.411125 -> 
NB --  Latency: 3.2575130462646484 milliseconds / AUC: 0.9679 / Recall: 0.9924 / Precision: 0.9958 / F1-Score: 0.9941 / Accuracy: 0.9891 / False Positive Rate: 0.0543
2023-10-05 15:13:51.411125 -> 3.2575130462646484 milliseconds & 0.9679 & 0.9924 & 0.9958 & 0.9941 & 0.9891 & 0.0543
2023-10-05 15:13:51.642341 -> 
SVM --  Latency: 36.942481994628906 milliseconds / AUC: 0.9842 / Recall: 0.9975 / Precision: 0.9958 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.0543
2023-10-05 15:13:51.643339 -> 36.942481994628906 milliseconds & 0.9842 & 0.9975 & 0.9958 & 0.9966 & 0.9938 & 0.0543
2023-10-05 15:13:51.752085 -> 
GB --  Latency: 4.985332489013672 milliseconds / AUC: 0.9931 / Recall: 1.0 / Precision: 0.995 / F1-Score: 0.9975 / Accuracy: 0.9953 / False Positive Rate: 0.0652
2023-10-05 15:13:51.752085 -> 4.985332489013672 milliseconds & 0.9931 & 1.0 & 0.995 & 0.9975 & 0.9953 & 0.0652
2023-10-05 15:13:51.957519 -> 
KNN --  Latency: 122.51472473144531 milliseconds / AUC: 0.9889 / Recall: 0.9975 / Precision: 0.9958 / F1-Score: 0.9966 / Accuracy: 0.9938 / False Positive Rate: 0.0543
2023-10-05 15:13:51.957519 -> 122.51472473144531 milliseconds & 0.9889 & 0.9975 & 0.9958 & 0.9966 & 0.9938 & 0.0543
2023-10-05 15:39:42.832600 -> 
DATASET STATISTICS
2023-10-05 15:39:42.834596 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-05 15:39:42.836591 -> Validation {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-05 15:39:42.838585 -> Test {'len': 275, 'features': 6, 'count': label
M    249
B     26
Name: count, dtype: int64}
2023-10-05 15:39:43.307862 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 15:39:43.307862 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 15:39:43.425625 -> 
RF --  Latency: 12.96544075012207 milliseconds / AUC: 0.996087 / Recall: 0.997477 / Precision: 0.995802 / F1-Score: 0.996639 / Accuracy: 0.993755 / False Positive Rate: 0.054348
2023-10-05 15:39:43.425625 -> 12.96544075012207 milliseconds & 0.996087 & 0.997477 & 0.995802 & 0.996639 & 0.993755 & 0.054348
2023-10-05 15:39:43.485465 -> 
LR --  Latency: 1.9946098327636719 milliseconds / AUC: 0.993075 / Recall: 0.996636 / Precision: 0.996636 / F1-Score: 0.996636 / Accuracy: 0.993755 / False Positive Rate: 0.043478
2023-10-05 15:39:43.486463 -> 1.9946098327636719 milliseconds & 0.993075 & 0.996636 & 0.996636 & 0.996636 & 0.993755 & 0.043478
2023-10-05 15:39:43.554483 -> 
DT --  Latency: 1.9943714141845703 milliseconds / AUC: 0.996901 / Recall: 1.0 / Precision: 0.994979 / F1-Score: 0.997483 / Accuracy: 0.995316 / False Positive Rate: 0.065217
2023-10-05 15:39:43.555435 -> 1.9943714141845703 milliseconds & 0.996901 & 1.0 & 0.994979 & 0.997483 & 0.995316 & 0.065217
2023-10-05 15:39:43.618455 -> 
NB --  Latency: 1.9915103912353516 milliseconds / AUC: 0.96789 / Recall: 0.992431 / Precision: 0.995781 / F1-Score: 0.994103 / Accuracy: 0.989071 / False Positive Rate: 0.054348
2023-10-05 15:39:43.618455 -> 1.9915103912353516 milliseconds & 0.96789 & 0.992431 & 0.995781 & 0.994103 & 0.989071 & 0.054348
2023-10-05 15:39:43.819803 -> 
SVM --  Latency: 45.1502799987793 milliseconds / AUC: 0.984226 / Recall: 0.997477 / Precision: 0.995802 / F1-Score: 0.996639 / Accuracy: 0.993755 / False Positive Rate: 0.054348
2023-10-05 15:39:43.821797 -> 45.1502799987793 milliseconds & 0.984226 & 0.997477 & 0.995802 & 0.996639 & 0.993755 & 0.054348
2023-10-05 15:39:43.909474 -> 
GB --  Latency: 5.574941635131836 milliseconds / AUC: 0.993093 / Recall: 1.0 / Precision: 0.994979 / F1-Score: 0.997483 / Accuracy: 0.995316 / False Positive Rate: 0.065217
2023-10-05 15:39:43.910472 -> 5.574941635131836 milliseconds & 0.993093 & 1.0 & 0.994979 & 0.997483 & 0.995316 & 0.065217
2023-10-05 15:39:44.092077 -> 
KNN --  Latency: 87.76593208312988 milliseconds / AUC: 0.98887 / Recall: 0.997477 / Precision: 0.995802 / F1-Score: 0.996639 / Accuracy: 0.993755 / False Positive Rate: 0.054348
2023-10-05 15:39:44.093075 -> 87.76593208312988 milliseconds & 0.98887 & 0.997477 & 0.995802 & 0.996639 & 0.993755 & 0.054348
2023-10-05 15:51:05.042633 -> 
DATASET STATISTICS
2023-10-05 15:51:05.046261 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-05 15:51:05.048319 -> Validation {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-05 15:51:05.049816 -> Test {'len': 275, 'features': 6, 'count': label
M    249
B     26
Name: count, dtype: int64}
2023-10-05 15:51:05.389600 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-05 15:51:05.390659 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-05 15:51:05.496056 -> 
RF --  Latency: 10.963678359985352 milliseconds / AUC: 0.99608732 / Recall: 0.99747687 / Precision: 0.99580185 / F1-Score: 0.99663866 / Accuracy: 0.99375488 / False Positive Rate: 0.05434783
2023-10-05 15:51:05.497053 -> 10.963678359985352 milliseconds & 0.99608732 & 0.99747687 & 0.99580185 & 0.99663866 & 0.99375488 & 0.05434783
2023-10-05 15:51:05.555361 -> 
LR --  Latency: 1.0819435119628906 milliseconds / AUC: 0.99307511 / Recall: 0.99663583 / Precision: 0.99663583 / F1-Score: 0.99663583 / Accuracy: 0.99375488 / False Positive Rate: 0.04347826
2023-10-05 15:51:05.556322 -> 1.0819435119628906 milliseconds & 0.99307511 & 0.99663583 & 0.99663583 & 0.99663583 & 0.99375488 & 0.04347826
2023-10-05 15:51:05.622066 -> 
DT --  Latency: 1.5761852264404297 milliseconds / AUC: 0.99690094 / Recall: 1.0 / Precision: 0.99497908 / F1-Score: 0.99748322 / Accuracy: 0.99531616 / False Positive Rate: 0.06521739
2023-10-05 15:51:05.623564 -> 1.5761852264404297 milliseconds & 0.99690094 & 1.0 & 0.99497908 & 0.99748322 & 0.99531616 & 0.06521739
2023-10-05 15:51:05.686763 -> 
NB --  Latency: 2.460956573486328 milliseconds / AUC: 0.96788953 / Recall: 0.99243061 / Precision: 0.99578059 / F1-Score: 0.99410278 / Accuracy: 0.98907104 / False Positive Rate: 0.05434783
2023-10-05 15:51:05.687725 -> 2.460956573486328 milliseconds & 0.96788953 & 0.99243061 & 0.99578059 & 0.99410278 & 0.98907104 & 0.05434783
2023-10-05 15:51:05.901954 -> 
SVM --  Latency: 41.960716247558594 milliseconds / AUC: 0.98422587 / Recall: 0.99747687 / Precision: 0.99580185 / F1-Score: 0.99663866 / Accuracy: 0.99375488 / False Positive Rate: 0.05434783
2023-10-05 15:51:05.901954 -> 41.960716247558594 milliseconds & 0.98422587 & 0.99747687 & 0.99580185 & 0.99663866 & 0.99375488 & 0.05434783
2023-10-05 15:51:05.979745 -> 
GB --  Latency: 3.9887428283691406 milliseconds / AUC: 0.99309339 / Recall: 1.0 / Precision: 0.99497908 / F1-Score: 0.99748322 / Accuracy: 0.99531616 / False Positive Rate: 0.06521739
2023-10-05 15:51:05.980743 -> 3.9887428283691406 milliseconds & 0.99309339 & 1.0 & 0.99497908 & 0.99748322 & 0.99531616 & 0.06521739
2023-10-05 15:51:06.185184 -> 
KNN --  Latency: 83.20951461791992 milliseconds / AUC: 0.98886989 / Recall: 0.99747687 / Precision: 0.99580185 / F1-Score: 0.99663866 / Accuracy: 0.99375488 / False Positive Rate: 0.05434783
2023-10-05 15:51:06.186234 -> 83.20951461791992 milliseconds & 0.98886989 & 0.99747687 & 0.99580185 & 0.99663866 & 0.99375488 & 0.05434783
2023-10-06 05:40:57.046106 -> 
DATASET STATISTICS
2023-10-06 05:40:57.050618 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-06 05:40:57.051624 -> Validation {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-06 05:40:57.052680 -> Test {'len': 275, 'features': 6, 'count': label
M    249
B     26
Name: count, dtype: int64}
2023-10-06 05:40:57.052680 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-10-06 05:40:57.077539 -> 
GB --  Latency: 1.9946098327636719 milliseconds / AUC: 0.99794408 / Recall: 0.99609375 / Precision: 1.0 / F1-Score: 0.99804305 / Accuracy: 0.99636364 / False Positive Rate: 0.0
2023-10-06 05:40:57.077539 -> 1.9946098327636719 milliseconds & 0.99794408 & 0.99609375 & 1.0 & 0.99804305 & 0.99636364 & 0.0
2023-10-06 05:40:57.093438 -> 
DT --  Latency: 1.8346309661865234 milliseconds / AUC: 0.99609375 / Recall: 0.9921875 / Precision: 1.0 / F1-Score: 0.99607843 / Accuracy: 0.99272727 / False Positive Rate: 0.0
2023-10-06 05:40:57.094397 -> 1.8346309661865234 milliseconds & 0.99609375 & 0.9921875 & 1.0 & 0.99607843 & 0.99272727 & 0.0
2023-10-06 05:40:57.128341 -> 
RF --  Latency: 4.998445510864258 milliseconds / AUC: 0.99794408 / Recall: 0.99609375 / Precision: 1.0 / F1-Score: 0.99804305 / Accuracy: 0.99636364 / False Positive Rate: 0.0
2023-10-06 05:40:57.128341 -> 4.998445510864258 milliseconds & 0.99794408 & 0.99609375 & 1.0 & 0.99804305 & 0.99636364 & 0.0
2023-10-06 05:51:52.812406 -> 
DATASET STATISTICS
2023-10-06 05:51:52.813404 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-06 05:51:52.814401 -> Validation {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-06 05:51:52.815399 -> Test {'len': 275, 'features': 6, 'count': label
M    249
B     26
Name: count, dtype: int64}
2023-10-06 05:51:52.816396 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-10-06 05:51:52.837339 -> 
GB --  Latency: 0.9973049163818359 milliseconds / AUC: 0.99794408 / Recall: 0.99609375 / Precision: 1.0 / F1-Score: 0.99804305 / Accuracy: 0.99636364 / False Positive Rate: 0.0
2023-10-06 05:51:52.837339 -> 0.9973049163818359 milliseconds & 0.99794408 & 0.99609375 & 1.0 & 0.99804305 & 0.99636364 & 0.0
2023-10-06 05:51:52.850409 -> 
DT --  Latency: 0.9920597076416016 milliseconds / AUC: 0.99609375 / Recall: 0.9921875 / Precision: 1.0 / F1-Score: 0.99607843 / Accuracy: 0.99272727 / False Positive Rate: 0.0
2023-10-06 05:51:52.851580 -> 0.9920597076416016 milliseconds & 0.99609375 & 0.9921875 & 1.0 & 0.99607843 & 0.99272727 & 0.0
2023-10-06 05:51:52.880640 -> 
LR --  Latency: 4.935264587402344 milliseconds / AUC: 0.99784128 / Recall: 0.9921875 / Precision: 1.0 / F1-Score: 0.99607843 / Accuracy: 0.99272727 / False Positive Rate: 0.0
2023-10-06 05:51:52.881637 -> 4.935264587402344 milliseconds & 0.99784128 & 0.9921875 & 1.0 & 0.99607843 & 0.99272727 & 0.0
2023-10-06 05:52:30.426964 -> 
DATASET STATISTICS
2023-10-06 05:52:30.428958 -> Train {'len': 1281, 'features': 6, 'count': label
M    1189
B      92
Name: count, dtype: int64}
2023-10-06 05:52:30.429956 -> Validation {'len': 275, 'features': 6, 'count': label
M    256
B     19
Name: count, dtype: int64}
2023-10-06 05:52:30.430954 -> Test {'len': 275, 'features': 6, 'count': label
M    249
B     26
Name: count, dtype: int64}
2023-10-06 05:52:30.430954 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-10-06 05:52:30.456009 -> 
GB --  Latency: 1.9946098327636719 milliseconds / AUC: 0.99794408 / Recall: 0.99609375 / Precision: 1.0 / F1-Score: 0.99804305 / Accuracy: 0.99636364 / False Positive Rate: 0.0
2023-10-06 05:52:30.456990 -> 1.9946098327636719 milliseconds & 0.99794408 & 0.99609375 & 1.0 & 0.99804305 & 0.99636364 & 0.0
2023-10-06 05:52:30.469971 -> 
DT --  Latency: 0.9968280792236328 milliseconds / AUC: 0.99609375 / Recall: 0.9921875 / Precision: 1.0 / F1-Score: 0.99607843 / Accuracy: 0.99272727 / False Positive Rate: 0.0
2023-10-06 05:52:30.469971 -> 0.9968280792236328 milliseconds & 0.99609375 & 0.9921875 & 1.0 & 0.99607843 & 0.99272727 & 0.0
2023-10-06 05:52:30.483934 -> 
LR --  Latency: 0.96893310546875 milliseconds / AUC: 0.99784128 / Recall: 0.9921875 / Precision: 1.0 / F1-Score: 0.99607843 / Accuracy: 0.99272727 / False Positive Rate: 0.0
2023-10-06 05:52:30.483934 -> 0.96893310546875 milliseconds & 0.99784128 & 0.9921875 & 1.0 & 0.99607843 & 0.99272727 & 0.0

<FINAL RUN>

2023-10-06 06:05:34.368086 -> Reading data from CSV ...
2023-10-06 06:05:34.392217 -> Data cleaning completed. Removed 0 records.
2023-10-06 06:05:34.393210 -> 1831 records remaining.
2023-10-06 06:05:34.393210 -> SPLITTING DATA
2023-10-06 06:05:34.400380 -> SAVING DATA
2023-10-06 06:05:34.412419 -> ----- Done Splitting data -----
2023-10-06 06:05:34.426419 -> 
DATASET STATISTICS
2023-10-06 06:05:34.429373 -> Train {'len': 1281, 'features': 6, 'count': label
M    1182
B      99
Name: count, dtype: int64}
2023-10-06 06:05:34.430372 -> Validation {'len': 275, 'features': 6, 'count': label
M    255
B     20
Name: count, dtype: int64}
2023-10-06 06:05:34.432400 -> Test {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-06 06:05:34.432470 -> 

---- TRAINING CLASSIFIERS ----
2023-10-06 06:05:34.432470 -> TRAINING: Random Forest
2023-10-06 06:08:29.250569 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.251549 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.251549 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.252523 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.252584 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.252584 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.253611 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.253611 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.253611 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.254646 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.254646 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.255615 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.255615 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.256603 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.256603 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.257600 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.257600 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.257600 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.258638 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.258638 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.259606 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.259606 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.260593 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.260593 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.260593 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.261641 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.261641 -> nan (+/-nan) for {'max_depth': None, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.262587 -> 0.993 (+/-0.0104) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.262587 -> 0.993 (+/-0.0104) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.262587 -> 0.993 (+/-0.0104) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.263686 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.263686 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.263686 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.264763 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.264763 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.265719 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.265719 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.266716 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.266716 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.266716 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.267712 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.267712 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.268886 -> 0.9953 (+/-0.0058) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.268886 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.268886 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.269958 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.269958 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.270928 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.270928 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.271912 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.271912 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.272938 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.272938 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.272938 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.273934 -> 0.993 (+/-0.0104) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.273934 -> 0.993 (+/-0.0104) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.274902 -> 0.993 (+/-0.0104) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.274902 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.275900 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.275900 -> 0.9938 (+/-0.008) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.275900 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.276936 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.276936 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.277902 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.277902 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.277902 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.279014 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.279014 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.279014 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.280046 -> 0.9953 (+/-0.0058) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.280046 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.281042 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.281042 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.281042 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.282052 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.282052 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.283037 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.283037 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.283037 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.284201 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.284201 -> 0.9945 (+/-0.0063) for {'max_depth': None, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.285199 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.285199 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.285199 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.286216 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.286216 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.287194 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.287194 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.287194 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.288192 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.288192 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.289189 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.289189 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.289189 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.290380 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.290380 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.291406 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.291406 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.291406 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.292377 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.292377 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.293401 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.293401 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.293401 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.294381 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.294381 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.295367 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.295367 -> nan (+/-nan) for {'max_depth': 10, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.295367 -> 0.993 (+/-0.0104) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.296363 -> 0.993 (+/-0.0104) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.296363 -> 0.993 (+/-0.0104) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.297362 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.297362 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.297362 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.298381 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.298381 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.299356 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.299356 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.299356 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.300383 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.300383 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.301351 -> 0.9953 (+/-0.0058) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.301351 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.301351 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.302475 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.302475 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.303473 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.303473 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.303473 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.304515 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.304515 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.305468 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.305468 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.305468 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.306493 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.306493 -> 0.993 (+/-0.0104) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.307462 -> 0.993 (+/-0.0104) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.307462 -> 0.993 (+/-0.0104) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.308541 -> 0.9938 (+/-0.0106) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.308541 -> 0.9938 (+/-0.008) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.308541 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.309538 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.309538 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.310565 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.310565 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.310565 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.311591 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.311591 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.312531 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.312531 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.313528 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.313528 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.313528 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.314524 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.314524 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.315523 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.315523 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.315523 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.316549 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.316549 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.317518 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.317518 -> 0.9945 (+/-0.0063) for {'max_depth': 10, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.317518 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.318544 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.318544 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.319511 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.319511 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.320538 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.320635 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.320635 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.321647 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.321647 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.322630 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.322630 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.322630 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.323627 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.323627 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.324625 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.324625 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.324625 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.325715 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.325715 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.326713 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.326713 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.326713 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.327713 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.327713 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.328708 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.328708 -> nan (+/-nan) for {'max_depth': 20, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.328708 -> 0.993 (+/-0.0104) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.329704 -> 0.993 (+/-0.0104) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.329704 -> 0.993 (+/-0.0104) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.330703 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.330703 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.331801 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.331801 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.331801 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.332861 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.332861 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.333831 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.333831 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.334829 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.334829 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.335826 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.335826 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.335826 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.336916 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.336916 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.337985 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.338985 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.338985 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.339942 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.339942 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.340946 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.340946 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.341936 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.341936 -> 0.993 (+/-0.0104) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.341936 -> 0.993 (+/-0.0104) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.342971 -> 0.993 (+/-0.0104) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.342971 -> 0.993 (+/-0.0104) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.343931 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.343931 -> 0.9938 (+/-0.008) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.343931 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.344967 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.344967 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.345925 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.345925 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.345925 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.346923 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.346923 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.346923 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.347965 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.347965 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.349007 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.349007 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.349007 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.350059 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.350059 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.351004 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.351004 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.352000 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.352000 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.352000 -> 0.9945 (+/-0.0063) for {'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.353103 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.353103 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.353103 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.354165 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.354165 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.355121 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.355121 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.355121 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.356166 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.356166 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.357116 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.357116 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.358188 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.358188 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.358188 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.359206 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.359206 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.360182 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.360182 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.360182 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.361238 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.361238 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.362177 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.362177 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.362177 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.363321 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.363321 -> nan (+/-nan) for {'max_depth': 30, 'max_features': 'auto', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.364318 -> 0.993 (+/-0.0104) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.364318 -> 0.993 (+/-0.0104) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.364318 -> 0.993 (+/-0.0104) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.365359 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.365359 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.366318 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.366318 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.367310 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.367310 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.367310 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.368402 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.368402 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.368402 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.369439 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.369439 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.370396 -> 0.9953 (+/-0.0058) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.370396 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.370396 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.371440 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.371440 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.372390 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.372390 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.373387 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.373387 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.373387 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.374385 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.374385 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.375384 -> 0.993 (+/-0.0104) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.375384 -> 0.993 (+/-0.0104) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.375384 -> 0.993 (+/-0.0104) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.376381 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.376381 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.376381 -> 0.9938 (+/-0.008) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.377405 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.377405 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.378375 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.378375 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.378375 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.379372 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.379372 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.380370 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.380370 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.380370 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.381406 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.381406 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.382364 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:08:29.382364 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:08:29.382364 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:08:29.383402 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:08:29.383402 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:08:29.384370 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:08:29.384370 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:08:29.385360 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:08:29.385360 -> 0.9945 (+/-0.0063) for {'max_depth': 30, 'max_features': 'log2', 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:08:29.386355 -> BEST PARAMS for Random Forest: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}

2023-10-06 06:08:29.404351 -> Train time for Random Forest: 2.9161810994148256 min
2023-10-06 06:08:29.404351 -> TRAINING: Decision Tree
2023-10-06 06:08:34.443817 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.443817 -> 0.9906 (+/-0.0106) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.443817 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.444814 -> 0.9922 (+/-0.0111) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.444814 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.445811 -> 0.9914 (+/-0.0091) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.445811 -> 0.9899 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.445811 -> 0.9945 (+/-0.0063) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.446809 -> 0.9899 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.446809 -> 0.993 (+/-0.0091) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.447891 -> 0.9899 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.447891 -> 0.993 (+/-0.0031) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.447891 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.448908 -> 0.9922 (+/-0.005) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.448908 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.449906 -> 0.9945 (+/-0.0063) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.449906 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.450908 -> 0.9922 (+/-0.0098) for {'criterion': 'gini', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.450908 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.451901 -> 0.9914 (+/-0.0077) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.451901 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.451901 -> 0.9922 (+/-0.0099) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.452986 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.452986 -> 0.993 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.454027 -> 0.9899 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.454027 -> 0.9899 (+/-0.0181) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.454027 -> 0.9899 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.455025 -> 0.9922 (+/-0.005) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.455025 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.456022 -> 0.9945 (+/-0.0062) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.456022 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.457021 -> 0.9938 (+/-0.0038) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.457021 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.458075 -> 0.9938 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.458075 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.458075 -> 0.9922 (+/-0.0121) for {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.459124 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.459124 -> 0.993 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.460108 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.460108 -> 0.9922 (+/-0.0099) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.460108 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.461106 -> 0.993 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.461106 -> 0.9899 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.462102 -> 0.9945 (+/-0.008) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.462102 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.462102 -> 0.9891 (+/-0.0134) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.463168 -> 0.9899 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.463168 -> 0.9922 (+/-0.0098) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.463168 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.464202 -> 0.9906 (+/-0.0145) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.464202 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.465200 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.465200 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.465200 -> 0.9945 (+/-0.0063) for {'criterion': 'gini', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.466197 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.466197 -> 0.993 (+/-0.0104) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.466197 -> 0.9899 (+/-0.0093) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.467194 -> 0.9938 (+/-0.008) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.467194 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.467194 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.468246 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.468246 -> 0.993 (+/-0.0059) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.469261 -> 0.9906 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.469261 -> 0.9883 (+/-0.0184) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.469261 -> 0.9899 (+/-0.0079) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.470258 -> 0.9922 (+/-0.007) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.470258 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.471255 -> 0.9922 (+/-0.0085) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.471255 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.472260 -> 0.9906 (+/-0.0161) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.472260 -> 0.9914 (+/-0.0076) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.473250 -> 0.9828 (+/-0.0291) for {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.473250 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.473250 -> 0.9922 (+/-0.0049) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.474249 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.474249 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.475245 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.475245 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.475245 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.476243 -> 0.9938 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.476243 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.477237 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.477237 -> 0.9899 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.478236 -> 0.9945 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.478236 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.478236 -> 0.9914 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.479368 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.479368 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.480366 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.480366 -> 0.993 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.480366 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.481362 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.481362 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.481362 -> 0.9922 (+/-0.0111) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.482400 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.482400 -> 0.993 (+/-0.0059) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.483358 -> 0.9899 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.483358 -> 0.993 (+/-0.0031) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.483358 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.484468 -> 0.9945 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.484468 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.485469 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.485469 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.485469 -> 0.9891 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.486502 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.486502 -> 0.9813 (+/-0.0398) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.487471 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.487471 -> 0.9883 (+/-0.0163) for {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.488457 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.488457 -> 0.9914 (+/-0.0134) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.488457 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.489543 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.489543 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.489543 -> 0.9945 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.489543 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.494629 -> 0.9914 (+/-0.0077) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.494629 -> 0.9899 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.495662 -> 0.9938 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.495662 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.496629 -> 0.9953 (+/-0.0058) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.496629 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.497635 -> 0.9945 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.497635 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.498623 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.498623 -> 0.9914 (+/-0.0076) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.498623 -> 0.9914 (+/-0.0159) for {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.499619 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.499619 -> 0.9922 (+/-0.0099) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.500617 -> 0.9899 (+/-0.0093) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.500617 -> 0.993 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.501613 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.502611 -> 0.9938 (+/-0.008) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.502611 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.503609 -> 0.9906 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.504607 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.504607 -> 0.9899 (+/-0.0062) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.505604 -> 0.9899 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.505604 -> 0.9914 (+/-0.0104) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.506601 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.506601 -> 0.9938 (+/-0.0038) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.507598 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.507598 -> 0.9945 (+/-0.0063) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.508595 -> 0.9906 (+/-0.0079) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.508595 -> 0.9899 (+/-0.0181) for {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.508595 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.509593 -> 0.9922 (+/-0.0099) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.509593 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.510590 -> 0.9938 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.510590 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.511587 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.511587 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.512585 -> 0.993 (+/-0.0031) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.512585 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.513582 -> 0.9938 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.513582 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.514579 -> 0.9922 (+/-0.0049) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.514579 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.514579 -> 0.9945 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.515590 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.515590 -> 0.986 (+/-0.016) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.516574 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.516574 -> 0.993 (+/-0.0031) for {'criterion': 'log_loss', 'max_depth': None, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.517571 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.517571 -> 0.993 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.518568 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.518568 -> 0.9914 (+/-0.0077) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.518568 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.519566 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.519566 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.520563 -> 0.993 (+/-0.0031) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.520563 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.521561 -> 0.993 (+/-0.0031) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.521561 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.522558 -> 0.9906 (+/-0.0188) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.522558 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.522558 -> 0.9945 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.523555 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.523555 -> 0.9922 (+/-0.0086) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.524553 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.524553 -> 0.9938 (+/-0.0038) for {'criterion': 'log_loss', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.525550 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.525550 -> 0.993 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.526547 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.526547 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.526547 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.527551 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.527551 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.528542 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.528542 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.529539 -> 0.9945 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.529539 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.529539 -> 0.9899 (+/-0.0181) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.530536 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.530536 -> 0.9906 (+/-0.0189) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.531534 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.531534 -> 0.9922 (+/-0.0131) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.532531 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.532531 -> 0.9875 (+/-0.0167) for {'criterion': 'log_loss', 'max_depth': 20, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.533528 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.533528 -> 0.9938 (+/-0.0106) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.534526 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.534526 -> 0.9922 (+/-0.0085) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.534526 -> 0.9899 (+/-0.0093) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.535523 -> 0.9938 (+/-0.008) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.535523 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.536521 -> 0.9945 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.536521 -> 0.9906 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.537518 -> 0.9922 (+/-0.0) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.537518 -> 0.9899 (+/-0.0079) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.538515 -> 0.9922 (+/-0.0098) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.538515 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'best'}
2023-10-06 06:08:34.538515 -> 0.9945 (+/-0.0063) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 2, 'splitter': 'random'}
2023-10-06 06:08:34.539513 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'best'}
2023-10-06 06:08:34.539513 -> 0.9914 (+/-0.0104) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 5, 'splitter': 'random'}
2023-10-06 06:08:34.540510 -> 0.9914 (+/-0.0076) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'best'}
2023-10-06 06:08:34.540510 -> 0.9914 (+/-0.0058) for {'criterion': 'log_loss', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 10, 'splitter': 'random'}
2023-10-06 06:08:34.541507 -> BEST PARAMS for Decision Tree: {'criterion': 'entropy', 'max_depth': 20, 'min_samples_leaf': 2, 'min_samples_split': 10, 'splitter': 'random'}

2023-10-06 06:08:34.543502 -> Train time for Decision Tree: 0.08562004168828329 min
2023-10-06 06:08:34.543502 -> TRAINING: Support Vector Machine
2023-10-06 06:08:40.838152 -> 0.8977 (+/-0.0327) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.839154 -> 0.9227 (+/-0.0031) for {'C': 0.1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.839154 -> 0.9219 (+/-0.0049) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.840102 -> 0.9953 (+/-0.0058) for {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.840102 -> 0.911 (+/-0.0114) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.841099 -> 0.9945 (+/-0.0063) for {'C': 0.1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.841099 -> 0.872 (+/-0.0393) for {'C': 0.1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.841099 -> 0.9953 (+/-0.0058) for {'C': 0.1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.842136 -> 0.8946 (+/-0.0332) for {'C': 1, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.842136 -> 0.9352 (+/-0.0492) for {'C': 1, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.843106 -> 0.9087 (+/-0.0455) for {'C': 1, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.843106 -> 0.9953 (+/-0.0058) for {'C': 1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.843106 -> 0.8532 (+/-0.0313) for {'C': 1, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.844206 -> 0.9938 (+/-0.0079) for {'C': 1, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.844206 -> 0.8517 (+/-0.0487) for {'C': 1, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.845203 -> 0.9953 (+/-0.0058) for {'C': 1, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.846201 -> 0.893 (+/-0.0366) for {'C': 10, 'gamma': 'scale', 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.846201 -> 0.9914 (+/-0.0091) for {'C': 10, 'gamma': 'scale', 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.847199 -> 0.9024 (+/-0.056) for {'C': 10, 'gamma': 'auto', 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.847199 -> 0.9953 (+/-0.0058) for {'C': 10, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.848200 -> 0.847 (+/-0.0401) for {'C': 10, 'gamma': 0.1, 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.848200 -> 0.9938 (+/-0.008) for {'C': 10, 'gamma': 0.1, 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.848200 -> 0.8485 (+/-0.0574) for {'C': 10, 'gamma': 1, 'kernel': 'sigmoid', 'probability': True}
2023-10-06 06:08:40.849195 -> 0.9953 (+/-0.0058) for {'C': 10, 'gamma': 1, 'kernel': 'rbf', 'probability': True}
2023-10-06 06:08:40.849195 -> BEST PARAMS for Support Vector Machine: {'C': 0.1, 'gamma': 'auto', 'kernel': 'rbf', 'probability': True}

2023-10-06 06:08:40.851282 -> Train time for Support Vector Machine: 0.10512965520222982 min
2023-10-06 06:08:40.852280 -> TRAINING: Logistic Regression
2023-10-06 06:08:43.424126 -> 0.8595 (+/-0.0442) for {'C': 0.001, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-06 06:08:43.424126 -> 0.9227 (+/-0.0031) for {'C': 0.001, 'penalty': 'l1', 'solver': 'saga'}
2023-10-06 06:08:43.425124 -> 0.9227 (+/-0.0031) for {'C': 0.001, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-06 06:08:43.425124 -> 0.9227 (+/-0.0031) for {'C': 0.001, 'penalty': 'l2', 'solver': 'saga'}
2023-10-06 06:08:43.426120 -> 0.9227 (+/-0.0031) for {'C': 0.01, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-06 06:08:43.426120 -> 0.9227 (+/-0.0031) for {'C': 0.01, 'penalty': 'l1', 'solver': 'saga'}
2023-10-06 06:08:43.427117 -> 0.9227 (+/-0.0031) for {'C': 0.01, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-06 06:08:43.427117 -> 0.9227 (+/-0.0031) for {'C': 0.01, 'penalty': 'l2', 'solver': 'saga'}
2023-10-06 06:08:43.428115 -> 0.9875 (+/-0.0125) for {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-06 06:08:43.428115 -> 0.9227 (+/-0.0031) for {'C': 0.1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-06 06:08:43.429112 -> 0.9945 (+/-0.008) for {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-06 06:08:43.429112 -> 0.9227 (+/-0.0031) for {'C': 0.1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-06 06:08:43.430109 -> 0.993 (+/-0.0104) for {'C': 1, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-06 06:08:43.430109 -> 0.9227 (+/-0.0031) for {'C': 1, 'penalty': 'l1', 'solver': 'saga'}
2023-10-06 06:08:43.431110 -> 0.9945 (+/-0.008) for {'C': 1, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-06 06:08:43.431110 -> 0.9227 (+/-0.0031) for {'C': 1, 'penalty': 'l2', 'solver': 'saga'}
2023-10-06 06:08:43.432106 -> 0.993 (+/-0.0104) for {'C': 10, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-06 06:08:43.432106 -> 0.9227 (+/-0.0031) for {'C': 10, 'penalty': 'l1', 'solver': 'saga'}
2023-10-06 06:08:43.433170 -> 0.993 (+/-0.0104) for {'C': 10, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-06 06:08:43.433170 -> 0.9227 (+/-0.0031) for {'C': 10, 'penalty': 'l2', 'solver': 'saga'}
2023-10-06 06:08:43.434170 -> 0.993 (+/-0.0104) for {'C': 100, 'penalty': 'l1', 'solver': 'liblinear'}
2023-10-06 06:08:43.434170 -> 0.9227 (+/-0.0031) for {'C': 100, 'penalty': 'l1', 'solver': 'saga'}
2023-10-06 06:08:43.435169 -> 0.9938 (+/-0.0106) for {'C': 100, 'penalty': 'l2', 'solver': 'liblinear'}
2023-10-06 06:08:43.435169 -> 0.9227 (+/-0.0031) for {'C': 100, 'penalty': 'l2', 'solver': 'saga'}
2023-10-06 06:08:43.436163 -> BEST PARAMS for Logistic Regression: {'C': 0.1, 'penalty': 'l2', 'solver': 'liblinear'}

2023-10-06 06:08:43.439225 -> Train time for Logistic Regression: 0.04311574300130208 min
2023-10-06 06:08:43.440263 -> TRAINING: Naive Bayes
2023-10-06 06:08:43.755566 -> 0.9899 (+/-0.008) for {'var_smoothing': 1e-09}
2023-10-06 06:08:43.756564 -> 0.9906 (+/-0.008) for {'var_smoothing': 1e-08}
2023-10-06 06:08:43.757562 -> 0.9914 (+/-0.0077) for {'var_smoothing': 1e-07}
2023-10-06 06:08:43.758560 -> 0.9914 (+/-0.0077) for {'var_smoothing': 1e-06}
2023-10-06 06:08:43.759556 -> 0.9914 (+/-0.0077) for {'var_smoothing': 1e-05}
2023-10-06 06:08:43.759556 -> BEST PARAMS for Naive Bayes: {'var_smoothing': 1e-07}

2023-10-06 06:08:43.763546 -> Train time for Naive Bayes: 0.0053880651791890465 min
2023-10-06 06:08:43.764543 -> TRAINING: Gradient Boosting
2023-10-06 06:12:18.052790 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.052790 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.053787 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.053787 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.054880 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.054880 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.055898 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.055898 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.055898 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.056895 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.056895 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.057898 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.057898 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.058889 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.058889 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.058889 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.059979 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.059979 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.059979 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.061005 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.061005 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.062002 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.062002 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.062002 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.063000 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.063000 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.063000 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.064015 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.064015 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.064994 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.064994 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.064994 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.065991 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.065991 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.066989 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.066989 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.067987 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.067987 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.067987 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.068984 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.068984 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.069980 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.069980 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.069980 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.070979 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.070979 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.071988 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.071988 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.071988 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.072972 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.072972 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.073970 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.073970 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.074967 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.074967 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.074967 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.075965 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.075965 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.076961 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.076961 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.076961 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.077971 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.077971 -> 0.9906 (+/-0.0079) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.078956 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.078956 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.078956 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.079955 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.079955 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.080951 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.080951 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.080951 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.081949 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.081949 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.082946 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.082946 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.082946 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.083943 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.083943 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.084942 -> 0.9227 (+/-0.0031) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.084942 -> 0.9914 (+/-0.0076) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.085938 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.01, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.085938 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.085938 -> 0.9906 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.086936 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.086936 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.087932 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.087932 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.087932 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.089051 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.089051 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.090050 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.090050 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.090050 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.091048 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.091048 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.092044 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.092044 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.092044 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.093043 -> 0.9906 (+/-0.0117) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.093043 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.094039 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.094039 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.094039 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.095107 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.095107 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.096106 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.096106 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.096106 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.097105 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.097105 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.098101 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.098101 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.098101 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.099100 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.099100 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.100096 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.100096 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.101149 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.101328 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.101328 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.102328 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.102328 -> 0.9906 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.102328 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.103324 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.103324 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.104322 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.104322 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.104322 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.105319 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.105319 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.106320 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.106320 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.106320 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.107313 -> 0.9906 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.107313 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.108312 -> 0.9891 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.108312 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.109308 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.109308 -> 0.9891 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.109308 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.110305 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.110305 -> 0.9891 (+/-0.0091) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.111303 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.111303 -> 0.9899 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.111303 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.112300 -> 0.9891 (+/-0.0076) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.112300 -> 0.9899 (+/-0.0062) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.113299 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.113299 -> 0.9891 (+/-0.0076) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.114295 -> 0.9891 (+/-0.0076) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.114295 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.114295 -> 0.9891 (+/-0.0076) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.115293 -> 0.9906 (+/-0.008) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.115293 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.116290 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.116290 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.116290 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.117288 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.117288 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.118284 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.118284 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.118284 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.1, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.119283 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.119283 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.120279 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.120279 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.120279 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.121277 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.121277 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.122274 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.122274 -> 0.9906 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.122274 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.123271 -> 0.9906 (+/-0.0117) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.123271 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.124268 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.124268 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.124268 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.125266 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.125266 -> 0.9906 (+/-0.0117) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.126263 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.126263 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.126263 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.127260 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.127260 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.128258 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.128258 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.128258 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.129255 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.129255 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 3, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.130253 -> 0.9899 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.130253 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.130253 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.131250 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.131250 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.132248 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.132248 -> 0.9899 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.132248 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.133244 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.133244 -> 0.9906 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.134242 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.134242 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.135239 -> 0.9899 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.135239 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.135239 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.136239 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.136239 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.136239 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.137234 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.137234 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.138245 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.138245 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.139228 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.139228 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.139228 -> 0.9906 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.140234 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.140234 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 4, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.141223 -> 0.9899 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.141223 -> 0.9899 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.141223 -> 0.9906 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.142222 -> 0.9899 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.142222 -> 0.9891 (+/-0.0058) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.142222 -> 0.9914 (+/-0.0077) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.143218 -> 0.9899 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.143218 -> 0.9899 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.144216 -> 0.9906 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.144216 -> 0.9891 (+/-0.0076) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.144216 -> 0.9899 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.145212 -> 0.9906 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.145212 -> 0.9891 (+/-0.0076) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.146210 -> 0.9899 (+/-0.0062) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.146210 -> 0.9906 (+/-0.008) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.147208 -> 0.9891 (+/-0.0076) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.147208 -> 0.9899 (+/-0.0093) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.148206 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.148206 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 50}
2023-10-06 06:12:18.149202 -> 0.9922 (+/-0.0099) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 100}
2023-10-06 06:12:18.149202 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 2, 'n_estimators': 200}
2023-10-06 06:12:18.150200 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 50}
2023-10-06 06:12:18.150200 -> 0.9906 (+/-0.0106) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 100}
2023-10-06 06:12:18.150200 -> 0.9914 (+/-0.0125) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 5, 'n_estimators': 200}
2023-10-06 06:12:18.151198 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 50}
2023-10-06 06:12:18.151198 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}
2023-10-06 06:12:18.152194 -> 0.9914 (+/-0.0104) for {'learning_rate': 0.2, 'max_depth': 5, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 200}
2023-10-06 06:12:18.152194 -> BEST PARAMS for Gradient Boosting: {'learning_rate': 0.1, 'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 200}

2023-10-06 06:12:18.160172 -> Train time for Gradient Boosting: 3.5732604900995892 min
2023-10-06 06:12:18.161170 -> TRAINING: K Nearest Neighbors
2023-10-06 06:12:19.144153 -> 0.9938 (+/-0.0079) for {'n_neighbors': 3, 'p': 1, 'weights': 'uniform'}
2023-10-06 06:12:19.144153 -> 0.9922 (+/-0.011) for {'n_neighbors': 3, 'p': 1, 'weights': 'distance'}
2023-10-06 06:12:19.145112 -> 0.9945 (+/-0.0062) for {'n_neighbors': 3, 'p': 2, 'weights': 'uniform'}
2023-10-06 06:12:19.145112 -> 0.993 (+/-0.0104) for {'n_neighbors': 3, 'p': 2, 'weights': 'distance'}
2023-10-06 06:12:19.146117 -> 0.9938 (+/-0.0079) for {'n_neighbors': 5, 'p': 1, 'weights': 'uniform'}
2023-10-06 06:12:19.146117 -> 0.9922 (+/-0.011) for {'n_neighbors': 5, 'p': 1, 'weights': 'distance'}
2023-10-06 06:12:19.146117 -> 0.9938 (+/-0.0079) for {'n_neighbors': 5, 'p': 2, 'weights': 'uniform'}
2023-10-06 06:12:19.147145 -> 0.9922 (+/-0.011) for {'n_neighbors': 5, 'p': 2, 'weights': 'distance'}
2023-10-06 06:12:19.147145 -> 0.9922 (+/-0.0085) for {'n_neighbors': 7, 'p': 1, 'weights': 'uniform'}
2023-10-06 06:12:19.148104 -> 0.9922 (+/-0.0085) for {'n_neighbors': 7, 'p': 1, 'weights': 'distance'}
2023-10-06 06:12:19.148104 -> 0.993 (+/-0.0076) for {'n_neighbors': 7, 'p': 2, 'weights': 'uniform'}
2023-10-06 06:12:19.148104 -> 0.993 (+/-0.0091) for {'n_neighbors': 7, 'p': 2, 'weights': 'distance'}
2023-10-06 06:12:19.149136 -> 0.9922 (+/-0.0085) for {'n_neighbors': 10, 'p': 1, 'weights': 'uniform'}
2023-10-06 06:12:19.149136 -> 0.9914 (+/-0.0091) for {'n_neighbors': 10, 'p': 1, 'weights': 'distance'}
2023-10-06 06:12:19.150099 -> 0.993 (+/-0.0076) for {'n_neighbors': 10, 'p': 2, 'weights': 'uniform'}
2023-10-06 06:12:19.150151 -> 0.9922 (+/-0.0085) for {'n_neighbors': 10, 'p': 2, 'weights': 'distance'}
2023-10-06 06:12:19.150151 -> BEST PARAMS for K Nearest Neighbors: {'n_neighbors': 3, 'p': 2, 'weights': 'uniform'}

2023-10-06 06:12:19.153174 -> Train time for K Nearest Neighbors: 0.016517404715220133 min
2023-10-06 06:12:19.153174 -> Training time: 6.745345056056976 min
2023-10-06 06:12:19.153174 -> ----- Done training classifiers -----
2023-10-06 06:12:19.976996 -> 
 BENCHMARKING THE CLASSIFIERS
2023-10-06 06:12:19.977977 -> Order of importance: Latency, AUC, Recall, Precision, F1 Score, Accuracy, False Positive Rate
2023-10-06 06:12:20.057039 -> 
RF --  Latency: 6.968021392822266 milliseconds / AUC: 0.99687228 / Recall: 0.99746193 / Precision: 0.99661877 / F1-Score: 0.99704017 / Accuracy: 0.99453552 / False Positive Rate: 0.04040404
2023-10-06 06:12:20.057039 -> 6.968021392822266 milliseconds & 0.99687228 & 0.99746193 & 0.99661877 & 0.99704017 & 0.99453552 & 0.04040404
2023-10-06 06:12:20.098927 -> 
LR --  Latency: 1.9824504852294922 milliseconds / AUC: 0.99378728 / Recall: 0.99746193 / Precision: 0.99661877 / F1-Score: 0.99704017 / Accuracy: 0.99453552 / False Positive Rate: 0.04040404
2023-10-06 06:12:20.099924 -> 1.9824504852294922 milliseconds & 0.99378728 & 0.99746193 & 0.99661877 & 0.99704017 & 0.99453552 & 0.04040404
2023-10-06 06:12:20.142084 -> 
DT --  Latency: 1.003265380859375 milliseconds / AUC: 0.99778239 / Recall: 0.99746193 / Precision: 0.99661877 / F1-Score: 0.99704017 / Accuracy: 0.99453552 / False Positive Rate: 0.04040404
2023-10-06 06:12:20.143081 -> 1.003265380859375 milliseconds & 0.99778239 & 0.99746193 & 0.99661877 & 0.99704017 & 0.99453552 & 0.04040404
2023-10-06 06:12:20.179077 -> 
NB --  Latency: 1.0721683502197266 milliseconds / AUC: 0.97611479 / Recall: 0.99238579 / Precision: 0.99660153 / F1-Score: 0.99448919 / Accuracy: 0.98985168 / False Positive Rate: 0.04040404
2023-10-06 06:12:20.180069 -> 1.0721683502197266 milliseconds & 0.97611479 & 0.99238579 & 0.99660153 & 0.99448919 & 0.98985168 & 0.04040404
2023-10-06 06:12:20.332401 -> 
SVM --  Latency: 30.428647994995117 milliseconds / AUC: 0.99213369 / Recall: 0.99830795 / Precision: 0.99662162 / F1-Score: 0.99746407 / Accuracy: 0.99531616 / False Positive Rate: 0.04040404
2023-10-06 06:12:20.333371 -> 30.428647994995117 milliseconds & 0.99213369 & 0.99830795 & 0.99662162 & 0.99746407 & 0.99531616 & 0.04040404
2023-10-06 06:12:20.394327 -> 
GB --  Latency: 3.9887428283691406 milliseconds / AUC: 0.99806867 / Recall: 0.99830795 / Precision: 0.99915326 / F1-Score: 0.99873043 / Accuracy: 0.99765808 / False Positive Rate: 0.01010101
2023-10-06 06:12:20.395324 -> 3.9887428283691406 milliseconds & 0.99806867 & 0.99830795 & 0.99915326 & 0.99873043 & 0.99765808 & 0.01010101
2023-10-06 06:12:20.512812 -> 
KNN --  Latency: 56.46347999572754 milliseconds / AUC: 0.99442393 / Recall: 0.99830795 / Precision: 0.99662162 / F1-Score: 0.99746407 / Accuracy: 0.99531616 / False Positive Rate: 0.04040404
2023-10-06 06:12:20.512812 -> 56.46347999572754 milliseconds & 0.99442393 & 0.99830795 & 0.99662162 & 0.99746407 & 0.99531616 & 0.04040404
2023-10-06 06:38:11.609712 -> 
DATASET STATISTICS
2023-10-06 06:38:11.611707 -> Train {'len': 1281, 'features': 6, 'count': label
M    1182
B      99
Name: count, dtype: int64}
2023-10-06 06:38:11.611707 -> Validation {'len': 275, 'features': 6, 'count': label
M    255
B     20
Name: count, dtype: int64}
2023-10-06 06:38:11.612705 -> Test {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-06 06:38:11.613703 -> 
 VALIDATING THE DATASET WITH THE TOP MODELS
2023-10-06 06:38:11.639035 -> 
GB --  Latency: 1.9960403442382812 milliseconds / AUC: 0.97323529 / Recall: 0.99607843 / Precision: 0.99607843 / F1-Score: 0.99607843 / Accuracy: 0.99272727 / False Positive Rate: 0.05
2023-10-06 06:38:11.639035 -> 1.9960403442382812 milliseconds & 0.97323529 & 0.99607843 & 0.99607843 & 0.99607843 & 0.99272727 & 0.05
2023-10-06 06:38:11.654115 -> 
DT --  Latency: 2.0689964294433594 milliseconds / AUC: 0.96754902 / Recall: 1.0 / Precision: 0.99609375 / F1-Score: 0.99804305 / Accuracy: 0.99636364 / False Positive Rate: 0.05
2023-10-06 06:38:11.655113 -> 2.0689964294433594 milliseconds & 0.96754902 & 1.0 & 0.99609375 & 0.99804305 & 0.99636364 & 0.05
2023-10-06 06:38:11.668078 -> 
LR --  Latency: 0.9965896606445312 milliseconds / AUC: 0.98911765 / Recall: 0.98823529 / Precision: 0.99604743 / F1-Score: 0.99212598 / Accuracy: 0.98545455 / False Positive Rate: 0.05
2023-10-06 06:38:11.668078 -> 0.9965896606445312 milliseconds & 0.98911765 & 0.98823529 & 0.99604743 & 0.99212598 & 0.98545455 & 0.05
2023-10-06 07:00:32.838771 -> 
DATASET STATISTICS
2023-10-06 07:00:32.841733 -> Train {'len': 1281, 'features': 6, 'count': label
M    1182
B      99
Name: count, dtype: int64}
2023-10-06 07:00:32.843727 -> Validation {'len': 275, 'features': 6, 'count': label
M    255
B     20
Name: count, dtype: int64}
2023-10-06 07:00:32.845720 -> Test {'len': 275, 'features': 6, 'count': label
M    257
B     18
Name: count, dtype: int64}
2023-10-06 07:00:32.845720 -> 
 TESTING WITH THE BEST MODEL... 

2023-10-06 07:00:32.874678 -> 
LR --  Latency: 0.9977817535400391 milliseconds / AUC: 0.98573281 / Recall: 0.9844358 / Precision: 1.0 / F1-Score: 0.99215686 / Accuracy: 0.98545455 / False Positive Rate: 0.0
2023-10-06 07:00:32.875644 -> 0.9977817535400391 milliseconds & 0.98573281 & 0.9844358 & 1.0 & 0.99215686 & 0.98545455 & 0.0