ROSE: ROSE: Random Over-Sampling Examples
Version 0.0-3

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
Date of publication2014-07-15 18:41:03
MaintainerNicola Lunardon <[email protected]>
Package repositoryView on CRAN
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ROSE documentation built on May 29, 2017, 8:43 p.m.