swMATH ID: 32594
Software Authors: Ignacio Cordón, Salvador García, Alberto Fernández, Francisco Herrera
Description: R package 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.
Homepage: https://cran.r-project.org/web/packages/imbalance/index.html
Source Code:  https://github.com/cran/imbalance
Dependencies: R
Related Software: MWMOTE; RUSBoost; SMOTEBoost; Imbalanced-learn; WEKA; KEEL; ROSE; ebmc; smotefamily; unbalanced; R; IRIC
Cited in: 0 Publications