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.

AuthorNicola Lunardon, Giovanna Menardi, Nicola Torelli
Date of publication2014-07-15 18:41:03
MaintainerNicola Lunardon <lunardon@stat.unipd.it>
LicenseGPL-2
Version0.0-3

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.