Random Over-Sampling Examples

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.


Reference manual

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0.0-4 by Nicola Lunardon, 7 months ago

Browse source code at https://github.com/cran/ROSE

Authors: Nicola Lunardon , Giovanna Menardi , Nicola Torelli

Documentation:   PDF Manual  

GPL-2 license

Suggests MASS, nnet, rpart, tree

Imported by themis.

See at CRAN