epistasislab penn-ml-benchmark
EpistasisLab/penn-ml-benchmarks
This repository contains the code and data for a large, curated set of benchmarks for evaluating supervised machine learning algorithms. These data sets cover a broad range of applications, and include binary and multi-class problems, as well as combinations of categorical, ordinal, and continuous features. There are no missing values in these data sets. Check the datasets directory for information about the individual data sets. For easy access to the benchmark data sets, we have provided a Python wrapper named pmlb.