Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2]

This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also the second version on arXiv. 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 GitHub. 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, or the documentation hosted here. The code for the old version of the Grinsztajn et al. (2022) benchmark is provided in grinsztajn_benchmarking_code.zip and on GitHub. The code and data for the first arXiv version of the paper are archived here.

本数据集汇聚了论文《默认更优：基于表格数据的强大预调优 MLP 和提升树》的相关代码与数据，该论文的版本为 NeurIPS 版本，亦即 arXiv 上的第二版。核心代码存储于 pytabkit_code.zip 文件中，并在 README.md 以及文档文件夹中提供了进一步的说明。主要代码亦可在 GitHub 上获取。在此，我们额外提供了由代码生成的数据以及相应的图表。具体关于如何/何时下载哪些数据的说明，请参阅主代码中的 docs/source/bench/download_results.md 文档，或参考此处提供的文档。Grinsztajn 等人（2022）基准测试旧版本的代码存储于 grinsztajn_benchmarking_code.zip 文件中，并可在 GitHub 上找到。本数据集还包括了论文第一版 arXiv 版本的代码与数据存档。