imbalance

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.

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