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 GarcÃa [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 | file LICENSE [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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=imbalance to link to this page.
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