Imbalanced dataset for benchmarking

Nogueira, Fernando
Aridas, Christos K.
Oliveira, Dayvid V. R.
The different algorithms of the "imbalanced-learn" toolbox are evaluated on a set of common dataset, which are more or less balanced. These benchmark have been proposed in Ding, Zejin, "Diversified Ensemble Classifiers for H ighly Imbalanced Data Learning and their Application in Bioinformatics." Dissertation, Georgia State University, (2011) ​
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