Flexible Tool for Bias Detection, Visualization, and Mitigation

Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Find more details in (Wiśniewski, Biecek (2021)) .


Reference manual

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1.0.1 by Jakub Wiśniewski, a month ago


Report a bug at https://github.com/ModelOriented/fairmodels/issues

Browse source code at https://github.com/cran/fairmodels

Authors: Jakub Wiśniewski [aut, cre] , Przemysław Biecek [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports DALEX, ggplot2, patchwork, ggdendro, ggrepel, scales

Suggests ranger, gbm, knitr, rmarkdown, covr, testthat, spelling

Imported by arenar.

See at CRAN