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Title: Classification rule based on Bayesian naive Bayes models with
Description: "predict.bayes" predicts the binary response
Packaged: Fri Nov  9 07:11:06 2007; longhai

Title: Classification rule based on Bayesian naive Bayes models with feature selection bias corrected
Description: "predict.bayes" predicts the binary response from high dimensional  binary features
Packaged: Sun Nov 11 11:57:05 2007; longhai

Description: This software is used to predict the binary response based on high dimensional features, for example gene expression data. The data are modelled with Bayesian naive Bayes models. When a large number of features are available, one may like to select only a subset of features to use, typically those features strongly correlated with the response in training cases. Such a feature selection procedure is however invalid since the relationship between the response and the features will appear stronger. This package provides a way to avoid this bias and yields well-calibrated prediction for the test cases.
Packaged: Thu Feb 21 19:38:35 2008; longhai

Description: This software is used to predict the binary response based
on high dimensional features, for example gene expression data.
The data are modelled with Bayesian naive Bayes models. When a
large number of features are available, one may like to select
only a subset of features to use, typically those features
strongly correlated with the response in training cases. Such a
feature selection procedure is however invalid since the
relationship between the response and the features will appear
stronger. This package provides a way to avoid this bias and
yields well-calibrated prediction for the test cases.

Packaged: Wed Nov  7 15:50:13 2007; longhai

Title: Discrimination Mitigation for Machine Learning Models
Authors@R: c(person("Thaís", "de Bessa Gontijo de Oliveira", role = c("aut", "cre"),
person("Leonardo", "Paes Vieira", role = c("aut"),
person("Gustavo", "Rodrigues Lacerda Silva", role = "ctb",
person("Barbara", "Bianca Alves Cardoso", role = "ctb",
person("Douglas", "Alexandre Gomes Vieira", role = "ctb",
Maintainer: Thaís de Bessa Gontijo de Oliveira <thais.bgo@gmail.com>
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) <https://ieeexplore.ieee.org/document/6413831/>.
Packaged: 2021-07-27 19:51:49 UTC; leonardopv
Author: Thaís de Bessa Gontijo de Oliveira [aut, cre],