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The R Journal
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Date of this Version
6-2014
Document Type
Article
Citation
The R Journal (June 2014) 6(1); Editor: Deepayan Sarkar
Abstract
The ROSE package provides functions to deal with binary classification problems in the presence of imbalanced classes. Artificial balanced samples are generated according to a smoothed bootstrap approach and allow for aiding both the phases of estimation and accuracy evaluation of a binary classifier in the presence of a rare class. Functions that implement more traditional remedies for the class imbalance and different metrics to evaluate accuracy are also provided. These are estimated by holdout, bootstrap, or cross-validation methods.
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2014, The R Foundation. Open access material. License: CC BY 3.0 Unported