Imbalanced dataset for benchmarking
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https://dataverse.csuc.cat/citation?persistentId=doi:10.34810/data656
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资源简介：
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)
提供机构：
CORA.Repositori de Dades de Recerca
创建时间：
2023-03-02
