Flexible tool for bias detection, visualization, and mitigation
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Updated
Aug 29, 2022 - R
Flexible tool for bias detection, visualization, and mitigation
R package for computing and visualizing fair ML metrics
Multi-Calibration & Multi-Accuracy Boosting for R
Examines fairness metrics for models including gender stereotyping versus group differences due to appropriate predictors. Also explores feature bias mitigation
This repository provides some group fairness metrics to Machine Learning classifier of German Credit Scoring Dataset. It computes demographic parity, equal opportunity and equalized odd for the sensitive variable gender.
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