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fairmodels: 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. Package also supports calculating fairness metrics for regression models. Find more details in (Wiśniewski, 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 Wiśniewski [aut, cre],
Przemysław Biecek 
[aut] |
| Maintainer: |
Jakub Wiśniewski <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:
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https://CRAN.R-project.org/package=fairmodels
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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