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 |
| 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 | 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 |
| Reference manual: | imbalance.pdf |
| Vignettes: |
Working with imbalanced dataset |
| 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 suggests: | randomForestSRC, rbooster |
Please use the canonical form https://CRAN.R-project.org/package=imbalance to link to this page.