Package: predfairness 0.1.0
Thaís de Bessa Gontijo de Oliveira
predfairness: Discrimination Mitigation for Machine Learning Models
Based on different statistical definitions of discrimination, several methods have been proposed to detect and mitigate social inequality in machine learning models. This package aims to provide an alternative to fairness treatment in predictive models. The ROC method implemented in this package is described by Kamiran, Karim and Zhang (2012) <https://ieeexplore.ieee.org/document/6413831/>.
Authors:
predfairness_0.1.0.tar.gz
predfairness_0.1.0.tar.gz(r-4.5-noble)predfairness_0.1.0.tar.gz(r-4.4-noble)
predfairness_0.1.0.tgz(r-4.4-emscripten)predfairness_0.1.0.tgz(r-4.3-emscripten)
predfairness.pdf |predfairness.html✨
predfairness/json (API)
# Install 'predfairness' in R: |
install.packages('predfairness', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- adult.data - Adult Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:24de7dc1bc. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 07 2024 |
R-4.5-linux | OK | Dec 07 2024 |
Exports:roc_method
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Adult Dataset | adult.data |
Reject Option based Classification method | based Classification method Option Reject roc_method |