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, 2012). 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
||MASS, nnet, rpart, tree|
||Nicola Lunardon, Giovanna
Menardi, Nicola Torelli|
||Nicola Lunardon <firstname.lastname@example.org>, Giovanna
Menardi <menardi at stat.unipd.it>|
||ROSE citation info |