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PMLB Dataset
- paperswithcode.com
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EmailClick to copy linkLink copiedCiteRandal S. Olson; William La Cava; Patryk Orzechowski; Ryan J. Urbanowicz; Jason H. Moore, PMLB Dataset [Dataset]. https://paperswithcode.com/dataset/pmlbAuthorsRandal S. Olson; William La Cava; Patryk Orzechowski; Ryan J. Urbanowicz; Jason H. MooreDescriptionThe Penn Machine Learning Benchmarks (PMLB) is a large, curated set of benchmark datasets used to evaluate and compare supervised machine learning algorithms. These datasets cover a broad range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features.
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PMLB (Penn Machine Learning Benchmarks)
- opendatalab.com
zipUpdated Jul 1, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteUniversity of Pennsylvania (2023). PMLB (Penn Machine Learning Benchmarks) [Dataset]. https://opendatalab.com/OpenDataLab/PMLBzipAvailable download formatsDataset updatedJul 1, 2023Dataset provided byUniversity of PennsylvaniaLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionThe Penn Machine Learning Benchmarks (PMLB) is a large, curated set of benchmark datasets used to evaluate and compare supervised machine learning algorithms. These datasets cover a broad range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features.
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FacebookTwitterEmailThe Penn Machine Learning Benchmarks (PMLB) is a large, curated set of benchmark datasets used to evaluate and compare supervised machine learning algorithms. These datasets cover a broad range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features.