Exploratory Undersampling for Class-Imba
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Xu-Ying Liu; Jianxin Wu; Zhi-Hua Zhou
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Article
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2009
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IEEE
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English
β 654 KB
Undersampling is a popular method in dealing with class-imbalance problems, which uses only a subset of the majority class and thus is very efficient. The main deficiency is that many majority class examples are ignored. We propose two algorithms to overcome this deficiency. EasyEnsemble samples sev