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

DOI

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.

Identifier
DOI https://doi.org/10.18419/darus-4555
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4555
Provenance
Creator Holzmüller, David ORCID logo; Grinsztajn, Léo ORCID logo; Steinwart, Ingo ORCID logo
Publisher DaRUS
Contributor Holzmüller, David; Grinsztajn, Léo; Steinwart, Ingo; Strecker, Katharina; Dockès, Jérôme
Publication Year 2024
Funding Reference DFG EXC 2075 - 390740016 ; GENCI-IDRIS 2023-AD011012804R1 ; GENCI-IDRIS 2024-AD011012804R2
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Holzmüller, David (INRIA - Institut National de Recherche en Informatique et Automatique); Grinsztajn, Léo (INRIA - Institut National de Recherche en Informatique et Automatique); Steinwart, Ingo (Universität Stuttgart)
Representation
Resource Type Dataset
Format text/plain; application/zip; application/gzip
Size 151612400514; 97125372383; 17920256502; 1176073; 91446250; 127611802453; 778076160; 142657969328; 149824627451; 736853; 151034857782; 164599634808; 196014176199; 6156093440; 9784671126; 9547000565; 3782809600; 129556196006
Version 1.0
Discipline Other