ncordon/imbalance: Preprocessing Algorithms for Imbalanced Datasets

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) <doi:10.1109/tkde.2012.232>; (Das et al. 2015) <doi:10.1109/tkde.2014.2324567>, (Zhang et al. 2014) <doi:10.1016/j.inffus.2013.12.003>; (Gao et al. 2014) <doi:10.1016/j.neucom.2014.02.006>; (Almogahed et al. 2014) <doi:10.1007/s00500-014-1484-5>. It also includes an useful interface to perform oversampling.

Getting started

Package details

MaintainerIgnacio Cordón <[email protected]>
LicenseGPL (>=2) | file LICENSE
Version1.0.0
URL http://github.com/ncordon/imbalance
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ncordon/imbalance")
ncordon/imbalance documentation built on Feb. 19, 2018, 7:08 a.m.