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. Package also supports calculating fairness metrics for regression models. Find more details in (WiÅniewski, Biecek (2021)) <doi:10.48550/arXiv.2104.00507>.
Version: 1.2.1 Depends: R (≥ 3.5) Imports: DALEX, ggplot2, scales, stats, patchwork Suggests: ranger, gbm, knitr, rmarkdown, covr, testthat, spelling, ggdendro, ggrepel Published: 2022-08-23 DOI: 10.32614/CRAN.package.fairmodels Author: Jakub WiÅniewski [aut, cre], PrzemysÅaw Biecek [aut] Maintainer: Jakub WiÅniewski <jakwisn at gmail.com> BugReports: https://github.com/ModelOriented/fairmodels/issues License: GPL-3 URL: https://fairmodels.drwhy.ai/ NeedsCompilation: no Language: en-US Citation: fairmodels citation info Materials: README NEWS CRAN checks: fairmodels results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=fairmodels to link to this page.
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