PMLB (Penn Machine Learning Benchmarks)

Introduced by Olson et al. in PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

The 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.

Source: https://arxiv.org/abs/1703.00512

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