Flexible tool for bias detection, visualization, and mitigation
-
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
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.
Examines fairness metrics for models including gender stereotyping versus group differences due to appropriate predictors. Also explores feature bias mitigation
Add a description, image, and links to the fairness-ml topic page so that developers can more easily learn about it.
To associate your repository with the fairness-ml topic, visit your repo's landing page and select "manage topics."