Fairness: Algorithmic Fairness Metrics

Abstract

An R package for computing and visualizing algorithmic fairness metrics. The package offers a comprehensive set of fairness metrics for binary and multi-class classification problems, including demographic parity, equalized odds, and calibration metrics. It provides easy-to-use functions for bias detection and mitigation in machine learning models, with support for various protected attributes and fairness definitions.

Cite

@manual{kozodoi2021fairness,
  title={Fairness: Algorithmic Fairness Metrics},
  author={Kozodoi, N. and Varga, T. V.},
  organization={R Package on CRAN},
  year={2021}
}