ROSE
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.
- Version0.0-4
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- ROSE citation info
- Last release06/14/2021
Documentation
Team
Nicola Lunardon
Giovanna Menardi
Nicola Torelli
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- Suggests4 packages
- Reverse Imports1 package