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Publication Year: 2024

1 to 10 of 118 Results

CatBoost-HPO_steps.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 129.4 GB - MD5: 18626c6d8e091db924ce74542bb7df80 DATA
grinsztajn_benchmarking_code.zip Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data ZIP Archive - 1.1 MB - MD5: e4e6f5dca291e6c59f5135ab1a1d63a8 Code for running the Grinsztajn. et al (2022) benchmark with our models.
grinsztajn_results.csv.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Gzip Archive - 87.2 MB - MD5: 04efd949409a882d3fb3c18371d451fa Results on the Grinsztajn et al. (2022) benchmark.
LGBM-HPO_steps.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 107.9 GB - MD5: 63faf9208e0831c1eeda073b73302ccf DATA
main_no_results.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 555.1 MB - MD5: 9e1b8e3d2f905725b90fd498435245e4 DATA Benchmark results data for meta-train and meta-test benchmarks. Contains result summaries (enough for plotting) but not the detailed results.
main_results.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 260.5 GB - MD5: 147bd2b84a688a65e752a0b93af36424 DATA Detailed results, including predictions on datasets and best parameters, for all main methods. This excludes the data for individual hyperparameter optimization (HPO) steps, which is provided separately.
MLP-RTDL-HPO_steps.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 126.1 GB - MD5: 07ccbba1805898909d5c75df01fd847d DATA
pytabkit_code.zip Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data ZIP Archive - 6.9 MB - MD5: 80e03d81f1beb8a2173d5c38da4f493c Contains the code for running the meta-train and meta-test benchmarks, as well as an implementation of the models evaluated on these benchmarks. Also contains instructions in README.md as well as the documentation.
RealMLP-HPO_steps.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 128.6 GB - MD5: cecba6379df5f6ba81fcc51e7f087619 DATA
results_small.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 4.2 GB - MD5: 19babc91c7dab580a598551191da968b DATA Results folder (within the data folder) without extra results (predictions on the datasets, optimal hyperparameters).

CatBoost-HPO_steps.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 129.4 GB -

DATA

grinsztajn_benchmarking_code.zip

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

ZIP Archive - 1.1 MB -

Code for running the Grinsztajn. et al (2022) benchmark with our models.

grinsztajn_results.csv.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Gzip Archive - 87.2 MB -

Results on the Grinsztajn et al. (2022) benchmark.

LGBM-HPO_steps.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 107.9 GB -

DATA

main_no_results.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 555.1 MB -

DATA

Benchmark results data for meta-train and meta-test benchmarks. Contains result summaries (enough for plotting) but not the detailed results.

main_results.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 260.5 GB -

DATA

Detailed results, including predictions on datasets and best parameters, for all main methods. This excludes the data for individual hyperparameter optimization (HPO) steps, which is provided separately.

MLP-RTDL-HPO_steps.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 126.1 GB -

DATA

pytabkit_code.zip

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

ZIP Archive - 6.9 MB -

Contains the code for running the meta-train and meta-test benchmarks, as well as an implementation of the models evaluated on these benchmarks. Also contains instructions in README.md as well as the documentation.

RealMLP-HPO_steps.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 128.6 GB -

DATA

results_small.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 4.2 GB -

DATA

Results folder (within the data folder) without extra results (predictions on the datasets, optimal hyperparameters).

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