Binary Classification

Szilard's machine learning benchmarkR

A minimal benchmark comparing scalability, speed, and accuracy of popular open-source machine learning libraries for binary classification.

aequitasPython

An open-source toolkit for auditing bias and experimenting with fairness methods in machine learning models.

ShapleyPython

A Python library for evaluating binary classifiers in machine learning ensembles using Shapley value computation and approximation methods.