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LeoGrin/tabular-benchmark
Running custom model

Hi, great paper! how can I compare a custom model, without using WandB? From your documentation it seems like it is necessary to have a WandB subscription?
  • AnFreTh
  • 2
  • Opened 
    on Dec 3, 2024
  • #24

LeoGrin/tabular-benchmark
Numerical Regression Datasets

On the OpenML website, there are currently 2 versions of the same numerical regression datasets. Version 1 is from July 2022 (https://www.openml.org/search?type=study study_type=task id=297) and Version ...
  • junweima
  • 1
  • Opened 
    on Aug 1, 2024
  • #23

LeoGrin/tabular-benchmark
About the license of this benchmark

Hi Leo, thanks for the great work !! As mentioned in the title, is it possible for you to provide the license of this benchmark ? thank you :)
  • abvesa
  • Opened 
    on May 14, 2024
  • #22

LeoGrin/tabular-benchmark
Request for large-size dataset result

Hello LeoGrin, First thanks for the very good work. I am trying to reproducing the figure 17 and 18 in the paper, however the current figshare link only contains medium-sized dataset results, I m wondering ...
  • abvesa
  • Opened 
    on Jan 11, 2024
  • #21

LeoGrin/tabular-benchmark
Cross validation design

Hi @LeoGrin, Regarding the splits, I understand that the data is split depending on the size. - Is there a reference that guided the choice of the folds depending on size ? - As it is not mentionned, ...
  • lcrmorin
  • Opened 
    on Aug 17, 2023
  • #20

LeoGrin/tabular-benchmark
Average performance

Hi @LeoGrin, for the evaluation I understand that accuracy / R2 are used. Then they are standardized / aggregated (ADTM). - Am I understanding correctly that the rescaling is done within the model sample, ...
  • lcrmorin
  • Opened 
    on Aug 17, 2023
  • #19

LeoGrin/tabular-benchmark
Error in import_open_ml_data - All features are categorically encoded

Hi, I was trying to use the benchmark to test a few algorithms, and while I was preparing the experiment, ran into this line in the import_open_ml_data method. # Replace categorical values by integers ...
  • manujosephv
  • 4
  • Opened 
    on May 29, 2023
  • #18

LeoGrin/tabular-benchmark
Can't download RandomSearch results CSVs

Hi, Thanks a lot for this thorough work. I wanted to fetch the results CSVs for all random search iterations (in ./analyses/results/*.csv), however, I am facing the following error: Command: git lfs ...
  • Raphaaal
  • 3
  • Opened 
    on Jan 30, 2023
  • #17

LeoGrin/tabular-benchmark
do you have NLP data for example after CountVectorizer - integer number and very sparse data and unbalanced

do you have bench mark for tabular data classifiers 1 only categorical data ? 2 NLP data for example after CountVectorizer - integer number and very sparse data and unbalanced https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html ...
  • Sandy4321
  • Opened 
    on Jan 24, 2023
  • #16

LeoGrin/tabular-benchmark
will it work for windows,?

will it work for windows, since at least files downloading gives path error for windows
  • Sandy4321
  • 2
  • Opened 
    on Jan 24, 2023
  • #15
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