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.

Package details

AuthorIgnacio Cordón [aut, cre], Salvador García [aut], Alberto Fernández [aut], Francisco Herrera [aut]
MaintainerIgnacio Cordón <[email protected]>
LicenseGPL (>= 2) | file LICENSE
Version1.0.0
URL http://github.com/ncordon/imbalance
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("imbalance")

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imbalance documentation built on Feb. 19, 2018, 1:03 a.m.