Algorithms to treat imbalanced datasets. Imbalanced datasets usually damage the performance of the classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent preprocessing algorithms in the literature.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | bnlearn, KernelKnn, ggplot2, utils, stats, mvtnorm, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, C50, knitr, rmarkdown, FNN, smotefamily |
| Published: | 2017-11-15 |
| Author: | Ignacio Cordón [aut, cre] |
| 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 |
| Materials: | README |
| CRAN checks: | imbalance results |
| Reference manual: | imbalance.pdf |
| Vignettes: |
Working with imbalanced dataset |
| Package source: | imbalance_0.1.1.tar.gz |
| Windows binaries: | r-devel: imbalance_0.1.1.zip, r-release: imbalance_0.1.1.zip, r-oldrel: imbalance_0.1.1.zip |
| OS X El Capitan binaries: | r-release: imbalance_0.1.1.tgz |
| OS X Mavericks binaries: | r-oldrel: imbalance_0.1.1.tgz |
| Old sources: | imbalance archive |
Please use the canonical form https://CRAN.R-project.org/package=imbalance to link to this page.