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/>.

Getting started

Package details

AuthorThaís 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]
MaintainerThaís de Bessa Gontijo de Oliveira <thais.bgo@gmail.com>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("predfairness")

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predfairness documentation built on July 28, 2021, 5:08 p.m.