ROSE (version 0.0-4)

Random Over-Sampling Examples

Description

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.

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Install

install.packages('ROSE')

Monthly Downloads

16,799

Version

0.0-4

License

GPL-2

Maintainer

Last Published

June 14th, 2021

Functions in ROSE (0.0-4)