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predfairness  

Discrimination Mitigation for Machine Learning Models
View on CRAN: Click here


Download and install predfairness package within the R console
Install from CRAN:
install.packages("predfairness")

Install from Github:
library("remotes")
install_github("cran/predfairness")

Install by package version:
library("remotes")
install_version("predfairness", "0.1.0")



Attach the package and use:
library("predfairness")
Maintained by
Thaís de Bessa Gontijo de Oliveira
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-28
Latest Update: 2021-07-28
Description:
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) .
How to cite:
Thaís de Bessa Gontijo de Oliveira (2021). predfairness: Discrimination Mitigation for Machine Learning Models. R package version 0.1.0, https://cran.r-project.org/web/packages/predfairness. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for predfairness
Functions, R codes and Examples using the predfairness R package
Some associated functions: adult.data . roc_method . 
Some associated R codes: data_doc.R . methods.R .  Full predfairness package functions and examples
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