Penn Machine Learning Benchmark

The Penn Machine Learning Benchmarks (PMLB) is a large, carefully curated collection of benchmark datasets designed to evaluate and compare the performance of supervised learning algorithms. This benchmark library provides a wide range of datasets covering various task types and domains, offering researchers and practitioners a standardized testing platform to validate the effectiveness and robustness of algorithms, thereby promoting the development and innovation of machine learning technologies.