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.

Package details

AuthorNicola Lunardon, Giovanna Menardi, Nicola Torelli
MaintainerNicola Lunardon <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the ROSE package in your browser

Any scripts or data that you put into this service are public.

ROSE documentation built on May 2, 2019, 6:58 a.m.