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imbalance: Preprocessing Algorithms for Imbalanced Datasets

Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: (Barua et al. 2014) <doi:10.1109/tkde.2012.232>; (Das et al. 2015) <doi:10.1109/tkde.2014.2324567>, (Zhang et al. 2014) <doi:10.1016/j.inffus.2013.12.003>; (Gao et al. 2014) <doi:10.1016/j.neucom.2014.02.006>; (Almogahed et al. 2014) <doi:10.1007/s00500-014-1484-5>. It also includes an useful interface to perform oversampling.

Version:1.0.2.1
Depends:R (≥ 3.3.0)
Imports:bnlearn,KernelKnn,ggplot2, utils, stats,mvtnorm,Rcpp,smotefamily,FNN,C50
LinkingTo:Rcpp,RcppArmadillo
Suggests:testthat,knitr,rmarkdown
Published:2020-04-07
DOI:10.32614/CRAN.package.imbalance
Author:Ignacio Cordón [aut, cre], Salvador García [aut], Alberto Fernández [aut], Francisco Herrera [aut]
Maintainer:Ignacio Cordón <nacho.cordon.castillo at gmail.com>
BugReports:http://github.com/ncordon/imbalance/issues
License:GPL-2 |GPL-3 | fileLICENSE [expanded from: GPL (≥ 2) | file LICENSE]
URL:http://github.com/ncordon/imbalance
NeedsCompilation:yes
Citation:imbalance citation info
Materials:README,NEWS
CRAN checks:imbalance results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:imbalance.html ,imbalance.pdf
Vignettes:Working with imbalanced dataset (source,R code)

Downloads:

Package source: imbalance_1.0.2.1.tar.gz
Windows binaries: r-devel:imbalance_1.0.2.1.zip, r-release:imbalance_1.0.2.1.zip, r-oldrel:imbalance_1.0.2.1.zip
macOS binaries: r-release (arm64):imbalance_1.0.2.1.tgz, r-oldrel (arm64):imbalance_1.0.2.1.tgz, r-release (x86_64):imbalance_1.0.2.1.tgz, r-oldrel (x86_64):imbalance_1.0.2.1.tgz
Old sources: imbalance archive

Reverse dependencies:

Reverse suggests:randomForestSRC,rbooster

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=imbalanceto link to this page.


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