ROSE: ROSE: Random Over-Sampling Examples

The package provides functions to deal with binary classification problems in the presence of imbalanced classes. Synthetic balanced samples are generated according to ROSE (Menardi and Torelli, 2013). Functions that implement more traditional remedies to the class imbalance are also provided, as well as different metrics to evaluate a learner accuracy. These are estimated by holdout, bootstrap or cross-validation methods.

Version: 0.0-3
Suggests: MASS, nnet, rpart, tree
Published: 2014-07-15
Author: Nicola Lunardon, Giovanna Menardi, Nicola Torelli
Maintainer: Nicola Lunardon <lunardon at stat.unipd.it>
License: GPL-2
NeedsCompilation: no
Citation: ROSE citation info
Materials: ChangeLog
CRAN checks: ROSE results

Downloads:

Reference manual: ROSE.pdf
Package source: ROSE_0.0-3.tar.gz
Windows binaries: r-devel: ROSE_0.0-3.zip, r-release: ROSE_0.0-3.zip, r-oldrel: ROSE_0.0-3.zip
OS X Snow Leopard binaries: r-release: ROSE_0.0-3.tgz, r-oldrel: ROSE_0.0-3.tgz
OS X Mavericks binaries: r-release: ROSE_0.0-3.tgz
Old sources: ROSE archive