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.
| Version: |
0.0-3 |
| Suggests: |
MASS, nnet, rpart, tree |
| Published: |
2014-07-15 |
| Author: |
Nicola Lunardon, Giovanna Menardi, Nicola Torelli |
| Maintainer: |
Nicola Lunardon <lunardon at stat.unipd.it> |
| BugReports: |
NA |
| License: |
GPL-2 |
| URL: |
NA |
| NeedsCompilation: |
no |
| Citation: |
ROSE citation info |
| Materials: |
ChangeLog |
| CRAN checks: |
ROSE results |
Downloads: