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:Thaís de Bessa Gontijo de Oliveira [aut, cre], Leonardo Paes Vieira [aut], Gustavo Rodrigues Lacerda Silva [ctb], Barbara Bianca Alves Cardoso [ctb], Douglas Alexandre Gomes Vieira [ctb]

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'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 108 downloads 1 exports 0 dependencies

Last updated 3 years agofrom:24de7dc1bc. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-linuxOKNov 07 2024

Exports:roc_method

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Adult Datasetadult.data
Reject Option based Classification methodbased Classification method Option Reject roc_method