Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | Ignacio Cordón [aut, cre], Salvador García [aut], Alberto Fernández [aut], Francisco Herrera [aut] |
| Maintainer | Ignacio Cordón <nacho.cordon.castillo@gmail.com> |
| License | GPL (>= 2) | file LICENSE |
| Version | 1.0.2.1 |
| URL | http://github.com/ncordon/imbalance |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the imbalance package in your browser
Any scripts or data that you put into this service are public.
