ncordon/imbalance: Preprocessing Algorithms for Imbalanced Datasets
Version 1.0.0

Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: (Barua et al. 2014) ; (Das et al. 2015) , (Zhang et al. 2014) ; (Gao et al. 2014) ; (Almogahed et al. 2014) . It also includes an useful interface to perform oversampling.

Getting started

Package details

MaintainerIgnacio Cordón <[email protected]>
LicenseGPL (>=2) | file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
ncordon/imbalance documentation built on Feb. 19, 2018, 7:08 a.m.