Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip and contains further documentation in README.md and the docs folder. The main code is also provided on <a href=https://github.com/dholzmueller/pytabkit>GitHub</a>. Here, we additionally provide the data that is generated by the code as well as the plots. See the documentation in docs/source/bench/download_results.md in the main code for instructions on how/when to download which data. The code for the Grinsztajn et al. (2022) benchmark is provided in grinsztajn_benchmarking_code.zip and on <a href=https://github.com/LeoGrin/tabular-benchmark/tree/better_by_default>GitHub</a>.