tabular-benchmark
tabular-benchmark copied to clipboard
LeoGrin
Hi, First thanks for the very good work and for making it opensource. I'm trying to run it locally (via the `src/run_script.py`) on my computer and facing several errors (from...
great work Why do tree-based models still outperform deep learning on tabular data? but can you recommend data set for mixed continues and categorical features for binary classification with big...
Hi LeoGrin, thanks for very meaningful work. I see in the paper you use deep models like MLP, ResNet etc, are you using some deep model dedicated to feature interaction...
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...
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...
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...
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...
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 :)