diff --git a/project_prototype.ipynb b/project_prototype.ipynb new file mode 100644 index 0000000..ce788ad --- /dev/null +++ b/project_prototype.ipynb @@ -0,0 +1,3502 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Populating the interactive namespace from numpy and matplotlib\n" + ] + } + ], + "source": [ + "% pylab inline\n", + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.tree import DecisionTreeRegressor\n", + "\n", + "from sklearn.metrics import r2_score, mean_squared_error\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.model_selection import cross_val_score\n", + "from sklearn.ensemble import RandomForestRegressor" + + ] + }, + { + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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longitudelatitudehousing_median_agetotal_roomstotal_bedroomspopulationhouseholdsmedian_incomeocean_proximitymedian_house_value
0-122.2337.8841880129.03221268.3252NEAR BAY452600
1-122.2237.862170991106.0240111388.3014NEAR BAY358500
2-122.2437.85521467190.04961777.2574NEAR BAY352100
3-122.2537.85521274235.05582195.6431NEAR BAY341300
4-122.2537.85521627280.05652593.8462NEAR BAY342200
5-122.2537.8552919213.04131934.0368NEAR BAY269700
6-122.2537.84522535489.010945143.6591NEAR BAY299200
7-122.2537.84523104687.011576473.1200NEAR BAY241400
8-122.2637.84422555665.012065952.0804NEAR BAY226700
9-122.2537.84523549707.015517143.6912NEAR BAY261100
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longitudelatitudehousing_median_agetotal_roomstotal_bedroomspopulationhouseholdsmedian_incomemedian_house_value
count20640.00000020640.00000020640.00000020640.00000020433.00000020640.00000020640.00000020640.00000020640.000000
mean-119.56970435.63186128.6394862635.763081537.8705531425.476744499.5396803.870671206855.816909
std2.0035322.13595212.5855582181.615252421.3850701132.462122382.3297531.899822115395.615874
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50%-118.49000034.26000029.0000002127.000000435.0000001166.000000409.0000003.534800179700.000000
75%-118.01000037.71000037.0000003148.000000647.0000001725.000000605.0000004.743250264725.000000
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longitudelatitudehousing_median_agetotal_roomstotal_bedroomspopulationhouseholdsmedian_incomeocean_proximitymedian_house_value
2-122.2437.85521467190.04961777.2574NEAR BAY352100
3-122.2537.85521274235.05582195.6431NEAR BAY341300
4-122.2537.85521627280.05652593.8462NEAR BAY342200
5-122.2537.8552919213.04131934.0368NEAR BAY269700
6-122.2537.84522535489.010945143.6591NEAR BAY299200
7-122.2537.84523104687.011576473.1200NEAR BAY241400
8-122.2637.84422555665.012065952.0804NEAR BAY226700
9-122.2537.84523549707.015517143.6912NEAR BAY261100
10-122.2637.85522202434.09104023.2031NEAR BAY281500
11-122.2637.85523503752.015047343.2705NEAR BAY241800
12-122.2637.85522491474.010984683.0750NEAR BAY213500
13-122.2637.8452696191.03451742.6736NEAR BAY191300
14-122.2637.85522643626.012126201.9167NEAR BAY159200
15-122.2637.85501120283.06972642.1250NEAR BAY140000
16-122.2737.85521966347.07933312.7750NEAR BAY152500
17-122.2737.85521228293.06483032.1202NEAR BAY155500
18-122.2637.84502239455.09904191.9911NEAR BAY158700
19-122.2737.84521503298.06902752.6033NEAR BAY162900
20-122.2737.8540751184.04091661.3578NEAR BAY147500
21-122.2737.85421639367.09293661.7135NEAR BAY159800
22-122.2737.84522436541.010154781.7250NEAR BAY113900
23-122.2737.84521688337.08533252.1806NEAR BAY99700
24-122.2737.84522224437.010064222.6000NEAR BAY132600
25-122.2837.8541535123.03171192.4038NEAR BAY107500
26-122.2837.85491130244.06072392.4597NEAR BAY93800
27-122.2837.85521898421.011023971.8080NEAR BAY105500
28-122.2837.84502082492.011314731.6424NEAR BAY108900
29-122.2837.8452729160.03951551.6875NEAR BAY132000
30-122.2837.84491916447.08633781.9274NEAR BAY122300
31-122.2837.84522153481.011684411.9615NEAR BAY115200
.................................
20610-121.5639.10282130484.011954391.3631INLAND45500
20611-121.5539.10271783441.011634091.2857INLAND47000
20612-121.5639.08261377289.07612671.4934INLAND48300
20613-121.5539.09311728365.011673841.4958INLAND53400
20614-121.5439.08262276460.014554742.4695INLAND58000
20615-121.5439.08231076216.07241972.3598INLAND57500
20616-121.5339.08151810441.011573752.0469INLAND55100
20617-121.5339.0620561109.03081143.3021INLAND70800
20618-121.5539.06251332247.07262262.2500INLAND63400
20619-121.5639.01221891340.010232962.7303INLAND99100
20620-121.4839.054019841.0151484.5625INLAND100000
20621-121.4739.01371244247.04841572.3661INLAND77500
20622-121.4439.0020755147.04571572.4167INLAND67000
20623-121.3739.03321158244.05982272.8235INLAND65500
20624-121.4139.04161698300.07312913.0739INLAND87200
20625-121.5239.123710217.029144.1250INLAND72000
20626-121.4339.18361124184.05041712.1667INLAND93800
20627-121.3239.13535865.0169593.0000INLAND162500
20628-121.4839.10192043421.010183902.5952INLAND92400
20629-121.3939.1228100351856.0691218182.0943INLAND108300
20630-121.3239.29112640505.012574453.5673INLAND112000
20631-121.4039.33152655493.012004323.5179INLAND107200
20632-121.4539.26152319416.010473853.1250INLAND115600
20633-121.5339.19272080412.010823822.5495INLAND98300
20634-121.5639.27282332395.010413443.7125INLAND116800
20635-121.0939.48251665374.08453301.5603INLAND78100
20636-121.2139.4918697150.03561142.5568INLAND77100
20637-121.2239.43172254485.010074331.7000INLAND92300
20638-121.3239.43181860409.07413491.8672INLAND84700
20639-121.2439.37162785616.013875302.3886INLAND89400
\n", + "

19959 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " longitude latitude housing_median_age total_rooms total_bedrooms \\\n", + "2 -122.24 37.85 52 1467 190.0 \n", + "3 -122.25 37.85 52 1274 235.0 \n", + "4 -122.25 37.85 52 1627 280.0 \n", + "5 -122.25 37.85 52 919 213.0 \n", + "6 -122.25 37.84 52 2535 489.0 \n", + "7 -122.25 37.84 52 3104 687.0 \n", + "8 -122.26 37.84 42 2555 665.0 \n", + "9 -122.25 37.84 52 3549 707.0 \n", + "10 -122.26 37.85 52 2202 434.0 \n", + "11 -122.26 37.85 52 3503 752.0 \n", + "12 -122.26 37.85 52 2491 474.0 \n", + "13 -122.26 37.84 52 696 191.0 \n", + "14 -122.26 37.85 52 2643 626.0 \n", + "15 -122.26 37.85 50 1120 283.0 \n", + "16 -122.27 37.85 52 1966 347.0 \n", + "17 -122.27 37.85 52 1228 293.0 \n", + "18 -122.26 37.84 50 2239 455.0 \n", + "19 -122.27 37.84 52 1503 298.0 \n", + "20 -122.27 37.85 40 751 184.0 \n", + "21 -122.27 37.85 42 1639 367.0 \n", + "22 -122.27 37.84 52 2436 541.0 \n", + "23 -122.27 37.84 52 1688 337.0 \n", + "24 -122.27 37.84 52 2224 437.0 \n", + "25 -122.28 37.85 41 535 123.0 \n", + "26 -122.28 37.85 49 1130 244.0 \n", + "27 -122.28 37.85 52 1898 421.0 \n", + "28 -122.28 37.84 50 2082 492.0 \n", + "29 -122.28 37.84 52 729 160.0 \n", + "30 -122.28 37.84 49 1916 447.0 \n", + "31 -122.28 37.84 52 2153 481.0 \n", + "... ... ... ... ... ... \n", + "20610 -121.56 39.10 28 2130 484.0 \n", + "20611 -121.55 39.10 27 1783 441.0 \n", + "20612 -121.56 39.08 26 1377 289.0 \n", + "20613 -121.55 39.09 31 1728 365.0 \n", + "20614 -121.54 39.08 26 2276 460.0 \n", + "20615 -121.54 39.08 23 1076 216.0 \n", + "20616 -121.53 39.08 15 1810 441.0 \n", + "20617 -121.53 39.06 20 561 109.0 \n", + "20618 -121.55 39.06 25 1332 247.0 \n", + "20619 -121.56 39.01 22 1891 340.0 \n", + "20620 -121.48 39.05 40 198 41.0 \n", + "20621 -121.47 39.01 37 1244 247.0 \n", + "20622 -121.44 39.00 20 755 147.0 \n", + "20623 -121.37 39.03 32 1158 244.0 \n", + "20624 -121.41 39.04 16 1698 300.0 \n", + "20625 -121.52 39.12 37 102 17.0 \n", + "20626 -121.43 39.18 36 1124 184.0 \n", + "20627 -121.32 39.13 5 358 65.0 \n", + "20628 -121.48 39.10 19 2043 421.0 \n", + "20629 -121.39 39.12 28 10035 1856.0 \n", + "20630 -121.32 39.29 11 2640 505.0 \n", + "20631 -121.40 39.33 15 2655 493.0 \n", + "20632 -121.45 39.26 15 2319 416.0 \n", + "20633 -121.53 39.19 27 2080 412.0 \n", + "20634 -121.56 39.27 28 2332 395.0 \n", + "20635 -121.09 39.48 25 1665 374.0 \n", + "20636 -121.21 39.49 18 697 150.0 \n", + "20637 -121.22 39.43 17 2254 485.0 \n", + "20638 -121.32 39.43 18 1860 409.0 \n", + "20639 -121.24 39.37 16 2785 616.0 \n", + "\n", + " population households median_income ocean_proximity \\\n", + "2 496 177 7.2574 NEAR BAY \n", + "3 558 219 5.6431 NEAR BAY \n", + "4 565 259 3.8462 NEAR BAY \n", + "5 413 193 4.0368 NEAR BAY \n", + "6 1094 514 3.6591 NEAR BAY \n", + "7 1157 647 3.1200 NEAR BAY \n", + "8 1206 595 2.0804 NEAR BAY \n", + "9 1551 714 3.6912 NEAR BAY \n", + "10 910 402 3.2031 NEAR BAY \n", + "11 1504 734 3.2705 NEAR BAY \n", + "12 1098 468 3.0750 NEAR BAY \n", + "13 345 174 2.6736 NEAR BAY \n", + "14 1212 620 1.9167 NEAR BAY \n", + "15 697 264 2.1250 NEAR BAY \n", + "16 793 331 2.7750 NEAR BAY \n", + "17 648 303 2.1202 NEAR BAY \n", + "18 990 419 1.9911 NEAR BAY \n", + "19 690 275 2.6033 NEAR BAY \n", + "20 409 166 1.3578 NEAR BAY \n", + "21 929 366 1.7135 NEAR BAY \n", + "22 1015 478 1.7250 NEAR BAY \n", + "23 853 325 2.1806 NEAR BAY \n", + "24 1006 422 2.6000 NEAR BAY \n", + "25 317 119 2.4038 NEAR BAY \n", + "26 607 239 2.4597 NEAR BAY \n", + "27 1102 397 1.8080 NEAR BAY \n", + "28 1131 473 1.6424 NEAR BAY \n", + "29 395 155 1.6875 NEAR BAY \n", + "30 863 378 1.9274 NEAR BAY \n", + "31 1168 441 1.9615 NEAR BAY \n", + "... ... ... ... ... \n", + "20610 1195 439 1.3631 INLAND \n", + "20611 1163 409 1.2857 INLAND \n", + "20612 761 267 1.4934 INLAND \n", + "20613 1167 384 1.4958 INLAND \n", + "20614 1455 474 2.4695 INLAND \n", + "20615 724 197 2.3598 INLAND \n", + "20616 1157 375 2.0469 INLAND \n", + "20617 308 114 3.3021 INLAND \n", + "20618 726 226 2.2500 INLAND \n", + "20619 1023 296 2.7303 INLAND \n", + "20620 151 48 4.5625 INLAND \n", + "20621 484 157 2.3661 INLAND \n", + "20622 457 157 2.4167 INLAND \n", + "20623 598 227 2.8235 INLAND \n", + "20624 731 291 3.0739 INLAND \n", + "20625 29 14 4.1250 INLAND \n", + "20626 504 171 2.1667 INLAND \n", + "20627 169 59 3.0000 INLAND \n", + "20628 1018 390 2.5952 INLAND \n", + "20629 6912 1818 2.0943 INLAND \n", + "20630 1257 445 3.5673 INLAND \n", + "20631 1200 432 3.5179 INLAND \n", + "20632 1047 385 3.1250 INLAND \n", + "20633 1082 382 2.5495 INLAND \n", + "20634 1041 344 3.7125 INLAND \n", + "20635 845 330 1.5603 INLAND \n", + "20636 356 114 2.5568 INLAND \n", + "20637 1007 433 1.7000 INLAND \n", + "20638 741 349 1.8672 INLAND \n", + "20639 1387 530 2.3886 INLAND \n", + "\n", + " median_house_value \n", + "2 352100 \n", + "3 341300 \n", + "4 342200 \n", + "5 269700 \n", + "6 299200 \n", + "7 241400 \n", + "8 226700 \n", + "9 261100 \n", + "10 281500 \n", + "11 241800 \n", + "12 213500 \n", + "13 191300 \n", + "14 159200 \n", + "15 140000 \n", + "16 152500 \n", + "17 155500 \n", + "18 158700 \n", + "19 162900 \n", + "20 147500 \n", + "21 159800 \n", + "22 113900 \n", + "23 99700 \n", + "24 132600 \n", + "25 107500 \n", + "26 93800 \n", + "27 105500 \n", + "28 108900 \n", + "29 132000 \n", + "30 122300 \n", + "31 115200 \n", + "... ... \n", + "20610 45500 \n", + "20611 47000 \n", + "20612 48300 \n", + "20613 53400 \n", + "20614 58000 \n", + "20615 57500 \n", + "20616 55100 \n", + "20617 70800 \n", + "20618 63400 \n", + "20619 99100 \n", + "20620 100000 \n", + "20621 77500 \n", + "20622 67000 \n", + "20623 65500 \n", + "20624 87200 \n", + "20625 72000 \n", + "20626 93800 \n", + "20627 162500 \n", + "20628 92400 \n", + "20629 108300 \n", + "20630 112000 \n", + "20631 107200 \n", + "20632 115600 \n", + "20633 98300 \n", + "20634 116800 \n", + "20635 78100 \n", + "20636 77100 \n", + "20637 92300 \n", + "20638 84700 \n", + "20639 89400 \n", + "\n", + "[19959 rows x 10 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "filt_train" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "((19959, 10), (20640, 10))" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "filt_train.shape,train.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(19959, 10)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train = filt_train\n", + "train.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.1250 49\n", + "2.8750 46\n", + "4.1250 44\n", + "2.6250 44\n", + "3.8750 41\n", + "3.3750 38\n", + "3.0000 38\n", + "4.0000 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'High_income'])" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(19959, 11)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['NEAR BAY', '<1H OCEAN', 'INLAND', 'NEAR OCEAN', 'ISLAND'],\n", + " dtype=object)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train['ocean_proximity'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[High_income, medium_income, Low_income]\n", + "Categories (3, object): [Low_income < medium_income < High_income]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + 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"source": [ + "train.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " longitude latitude housing_median_age total_rooms total_bedrooms \\\n", + "2 -122.24 37.85 52 1467 190.0 \n", + "3 -122.25 37.85 52 1274 235.0 \n", + "4 -122.25 37.85 52 1627 280.0 \n", + "5 -122.25 37.85 52 919 213.0 \n", + "6 -122.25 37.84 52 2535 489.0 \n", + "7 -122.25 37.84 52 3104 687.0 \n", + "8 -122.26 37.84 42 2555 665.0 \n", + "9 -122.25 37.84 52 3549 707.0 \n", + "10 -122.26 37.85 52 2202 434.0 \n", + "11 -122.26 37.85 52 3503 752.0 \n", + "12 -122.26 37.85 52 2491 474.0 \n", + "13 -122.26 37.84 52 696 191.0 \n", + "14 -122.26 37.85 52 2643 626.0 \n", + "15 -122.26 37.85 50 1120 283.0 \n", + "16 -122.27 37.85 52 1966 347.0 \n", + "17 -122.27 37.85 52 1228 293.0 \n", + "18 -122.26 37.84 50 2239 455.0 \n", + "19 -122.27 37.84 52 1503 298.0 \n", + "20 -122.27 37.85 40 751 184.0 \n", + "21 -122.27 37.85 42 1639 367.0 \n", + "22 -122.27 37.84 52 2436 541.0 \n", + "23 -122.27 37.84 52 1688 337.0 \n", + "24 -122.27 37.84 52 2224 437.0 \n", + "25 -122.28 37.85 41 535 123.0 \n", + "26 -122.28 37.85 49 1130 244.0 \n", + "27 -122.28 37.85 52 1898 421.0 \n", + "28 -122.28 37.84 50 2082 492.0 \n", + "29 -122.28 37.84 52 729 160.0 \n", + "30 -122.28 37.84 49 1916 447.0 \n", + "31 -122.28 37.84 52 2153 481.0 \n", + "... ... ... ... ... ... \n", + "20610 -121.56 39.10 28 2130 484.0 \n", + "20611 -121.55 39.10 27 1783 441.0 \n", + "20612 -121.56 39.08 26 1377 289.0 \n", + "20613 -121.55 39.09 31 1728 365.0 \n", + "20614 -121.54 39.08 26 2276 460.0 \n", + "20615 -121.54 39.08 23 1076 216.0 \n", + "20616 -121.53 39.08 15 1810 441.0 \n", + "20617 -121.53 39.06 20 561 109.0 \n", + "20618 -121.55 39.06 25 1332 247.0 \n", + "20619 -121.56 39.01 22 1891 340.0 \n", + "20620 -121.48 39.05 40 198 41.0 \n", + "20621 -121.47 39.01 37 1244 247.0 \n", + "20622 -121.44 39.00 20 755 147.0 \n", + "20623 -121.37 39.03 32 1158 244.0 \n", + "20624 -121.41 39.04 16 1698 300.0 \n", + "20625 -121.52 39.12 37 102 17.0 \n", + "20626 -121.43 39.18 36 1124 184.0 \n", + "20627 -121.32 39.13 5 358 65.0 \n", + "20628 -121.48 39.10 19 2043 421.0 \n", + "20629 -121.39 39.12 28 10035 1856.0 \n", + "20630 -121.32 39.29 11 2640 505.0 \n", + "20631 -121.40 39.33 15 2655 493.0 \n", + "20632 -121.45 39.26 15 2319 416.0 \n", + "20633 -121.53 39.19 27 2080 412.0 \n", + "20634 -121.56 39.27 28 2332 395.0 \n", + "20635 -121.09 39.48 25 1665 374.0 \n", + "20636 -121.21 39.49 18 697 150.0 \n", + "20637 -121.22 39.43 17 2254 485.0 \n", + "20638 -121.32 39.43 18 1860 409.0 \n", + "20639 -121.24 39.37 16 2785 616.0 \n", + "\n", + " population households ocean_proximity median_house_value \\\n", + "2 496 177 NEAR BAY 352100 \n", + "3 558 219 NEAR BAY 341300 \n", + "4 565 259 NEAR BAY 342200 \n", + "5 413 193 NEAR BAY 269700 \n", + "6 1094 514 NEAR BAY 299200 \n", + "7 1157 647 NEAR BAY 241400 \n", + "8 1206 595 NEAR BAY 226700 \n", + "9 1551 714 NEAR BAY 261100 \n", + "10 910 402 NEAR BAY 281500 \n", + "11 1504 734 NEAR BAY 241800 \n", + "12 1098 468 NEAR BAY 213500 \n", + "13 345 174 NEAR BAY 191300 \n", + "14 1212 620 NEAR BAY 159200 \n", + "15 697 264 NEAR BAY 140000 \n", + "16 793 331 NEAR BAY 152500 \n", + "17 648 303 NEAR BAY 155500 \n", + "18 990 419 NEAR BAY 158700 \n", + "19 690 275 NEAR BAY 162900 \n", + "20 409 166 NEAR BAY 147500 \n", + "21 929 366 NEAR BAY 159800 \n", + "22 1015 478 NEAR BAY 113900 \n", + "23 853 325 NEAR BAY 99700 \n", + "24 1006 422 NEAR BAY 132600 \n", + "25 317 119 NEAR BAY 107500 \n", + "26 607 239 NEAR BAY 93800 \n", + "27 1102 397 NEAR BAY 105500 \n", + "28 1131 473 NEAR BAY 108900 \n", + "29 395 155 NEAR BAY 132000 \n", + "30 863 378 NEAR BAY 122300 \n", + "31 1168 441 NEAR BAY 115200 \n", + "... ... ... ... ... \n", + "20610 1195 439 INLAND 45500 \n", + "20611 1163 409 INLAND 47000 \n", + "20612 761 267 INLAND 48300 \n", + "20613 1167 384 INLAND 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NEAR OCEAN \n", + "2 0 0 0 0 1 0 \n", + "3 2 0 0 0 1 0 \n", + "4 2 0 0 0 1 0 \n", + "5 2 0 0 0 1 0 \n", + "6 2 0 0 0 1 0 \n", + "7 1 0 0 0 1 0 \n", + "8 1 0 0 0 1 0 \n", + "9 2 0 0 0 1 0 \n", + "10 1 0 0 0 1 0 \n", + "11 1 0 0 0 1 0 \n", + "12 1 0 0 0 1 0 \n", + "13 1 0 0 0 1 0 \n", + "14 1 0 0 0 1 0 \n", + "15 1 0 0 0 1 0 \n", + "16 1 0 0 0 1 0 \n", + "17 1 0 0 0 1 0 \n", + "18 1 0 0 0 1 0 \n", + "19 1 0 0 0 1 0 \n", + "20 1 0 0 0 1 0 \n", + "21 1 0 0 0 1 0 \n", + "22 1 0 0 0 1 0 \n", + "23 1 0 0 0 1 0 \n", + "24 1 0 0 0 1 0 \n", + "25 1 0 0 0 1 0 \n", + "26 1 0 0 0 1 0 \n", + "27 1 0 0 0 1 0 \n", + "28 1 0 0 0 1 0 \n", + "29 1 0 0 0 1 0 \n", + "30 1 0 0 0 1 0 \n", + "31 1 0 0 0 1 0 \n", + "... ... ... ... ... ... ... \n", + "20610 1 0 1 0 0 0 \n", + "20611 1 0 1 0 0 0 \n", + "20612 1 0 1 0 0 0 \n", + "20613 1 0 1 0 0 0 \n", + "20614 1 0 1 0 0 0 \n", + "20615 1 0 1 0 0 0 \n", + "20616 1 0 1 0 0 0 \n", + "20617 1 0 1 0 0 0 \n", + "20618 1 0 1 0 0 0 \n", + "20619 1 0 1 0 0 0 \n", + "20620 2 0 1 0 0 0 \n", + "20621 1 0 1 0 0 0 \n", + "20622 1 0 1 0 0 0 \n", + "20623 1 0 1 0 0 0 \n", + "20624 1 0 1 0 0 0 \n", + "20625 2 0 1 0 0 0 \n", + "20626 1 0 1 0 0 0 \n", + "20627 1 0 1 0 0 0 \n", + "20628 1 0 1 0 0 0 \n", + "20629 1 0 1 0 0 0 \n", + "20630 2 0 1 0 0 0 \n", + "20631 2 0 1 0 0 0 \n", + "20632 1 0 1 0 0 0 \n", + "20633 1 0 1 0 0 0 \n", + "20634 2 0 1 0 0 0 \n", + "20635 1 0 1 0 0 0 \n", + "20636 1 0 1 0 0 0 \n", + "20637 1 0 1 0 0 0 \n", + "20638 1 0 1 0 0 0 \n", + "20639 1 0 1 0 0 0 \n", + "\n", + "[19959 rows x 15 columns]\n" + ] + } + ], + "source": [ + "\n", + "from sklearn.preprocessing import LabelEncoder\n", + "train_labelencoder = LabelEncoder()\n", + "train['median_income_rows']= train_labelencoder.fit_transform(train['median_income_rows'])\n", + "print(train)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "train = train.drop(['ocean_proximity'], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(19959, 14)" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "longitude float64\n", + "latitude float64\n", + "housing_median_age int64\n", + "total_rooms int64\n", + "total_bedrooms float64\n", + "population int64\n", + "households int64\n", + "median_house_value int64\n", + "median_income_rows int64\n", + "<1H OCEAN uint8\n", + "INLAND uint8\n", + "ISLAND uint8\n", + "NEAR BAY uint8\n", + "NEAR OCEAN uint8\n", + "dtype: object" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Shiva Chandra\\Anaconda3\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(20,12))\n", + "sns.distplot(train['median_house_value'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "500001 527\n", + "500000 27\n", + "475000 8\n", + "466700 4\n", + "468800 3\n", + "Name: median_house_value, dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train[train['median_house_value']>450000]['median_house_value'].value_counts().head()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "train=train.loc[train['median_house_value']<500001,:]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Shiva Chandra\\Anaconda3\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(20,12))\n", + "sns.distplot(train['median_house_value'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "train['bed per house']=train['total_bedrooms']/train['total_rooms']\n", + "train['h/p']=train['households']/train['population']" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "x=train.drop('median_house_value',axis=1).values\n", + "y=train['median_house_value'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "xtrain,xtest,ytrain,ytest=train_test_split(x,y,test_size=0.2,random_state=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(15545, 15)\n", + "(15545,)\n", + "(3887, 15)\n", + "(3887,)\n" + ] + } + ], + "source": [ + "print(xtrain.shape)\n", + "print(ytrain.shape)\n", + "print(xtest.shape)\n", + "print(ytest.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "lin = LinearRegression()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "lin.fit(xtrain, ytrain)\n", + "predictions = lin.predict(xtest)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "70563.10520125084\n" + ] + } + ], + "source": [ + "print(sqrt(mean_squared_error(ytest, predictions)))" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.tree import DecisionTreeRegressor\n", + "dtree_reg = DecisionTreeRegressor(max_depth=11)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DecisionTreeRegressor(criterion='mse', max_depth=11, max_features=None,\n", + " max_leaf_nodes=None, min_impurity_decrease=0.0,\n", + " min_impurity_split=None, min_samples_leaf=1,\n", + " min_samples_split=2, min_weight_fraction_leaf=0.0,\n", + " presort=False, random_state=None, splitter='best')" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dtree_reg.fit(xtrain, ytrain)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "rmse of decision tree is 55903.28073132459\n" + ] + } + ], + "source": [ + "pred = dtree_reg.predict(xtest)\n", + "print(\"rmse of decision tree is\",math.sqrt(mean_squared_error(ytest, pred)))" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.tree import DecisionTreeClassifier" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 48.05%\n" + ] + } + ], + "source": [ + "model = DecisionTreeClassifier(max_depth = 100, min_samples_leaf =2, max_features = 'sqrt',min_samples_split = 3,random_state=82)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.46001548259958236" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lin.score (xtest, ytest)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "res = pd.DataFrame({'Predicted':pred,'Actual':ytest})\n", + "res = res.reset_index()\n", + "res = res.drop(['index'],axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "test = pd.DataFrame({'Predicted':pred,'Actual':ytest})\n", + "fig= plt.figure(figsize=(16,8))\n", + "test = test.reset_index()\n", + "test = test.drop(['index'],axis=1)\n", + "plt.plot(test[:50])\n", + "plt.legend(['Actual','Predicted'])\n", + "sns.jointplot(x='Actual',y='Predicted',data=test,kind=\"reg\",color=\"red\")" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "test = pd.DataFrame({'Predicted':pred,'Actual':ytest})\n", + "fig= plt.figure(figsize=(16,8))\n", + "test = test.reset_index()\n", + "test = test.drop(['index'],axis=1)\n", + "plt.plot(test[:50])\n", + "plt.legend(['Actual','Predicted'])\n", + "#sns.jointplot(x='Actual',y='Predicted',data=test,kind=\"reg\")" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 63.34%\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "model = RandomForestClassifier(max_depth = 20, min_samples_leaf = 50, max_features = 'sqrt',n_estimators = 1000)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 3.22%\n" + ] + } + ], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "model = KNeighborsClassifier(n_neighbors = 50)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 2.16%\n" + ] + } + ], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "model = KNeighborsClassifier(n_neighbors = 100)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 5.64%\n" + ] + } + ], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "model = KNeighborsClassifier(n_neighbors = 20)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 10.46%\n" + ] + } + ], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "model = KNeighborsClassifier(n_neighbors = 10)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 20.18%\n" + ] + } + ], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "model = KNeighborsClassifier(n_neighbors = 5)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 33.60%\n" + ] + } + ], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "model = KNeighborsClassifier(n_neighbors = 3)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 8.78%\n" + ] + } + ], + "source": [ + "from sklearn.naive_bayes import GaussianNB\n", + "model = GaussianNB()\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 89.55%\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "model = RandomForestClassifier(max_depth = 500, min_samples_leaf = 20, max_features = 'sqrt',n_estimators = 1000)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 89.64%\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "model = RandomForestClassifier(max_depth = 200, min_samples_leaf = 20, max_features = 'sqrt',n_estimators = 1000)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 64.07%\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "model = RandomForestClassifier(max_depth = 32, min_samples_leaf = 50, max_features = 'sqrt',n_estimators = 1000)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 63.80%\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "model = RandomForestClassifier(max_depth = 500, min_samples_leaf = 50, max_features = 'sqrt',n_estimators = 1000)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 89.64%\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "model = RandomForestClassifier(max_depth = 32, min_samples_leaf = 20, max_features = 'sqrt',n_estimators = 1000)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy 63.80%\n" + ] + } + ], + "source": [ + "from sklearn.ensemble import RandomForestClassifier\n", + "model = RandomForestClassifier(max_depth = 32, min_samples_leaf = 50, max_features = 'sqrt',n_estimators = 1000)\n", + "model.fit(xtrain,ytrain)\n", + "predicted_train = model.predict(xtrain)\n", + "true_value = ytrain\n", + "print(\"Train Accuracy {:.2%}\".format(accuracy_score(true_value,predicted_train)))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}