Using Random Forest to Learn Imbalanced Data
Department of Statistics,UC Berkeley Andy Liaw, andyliaw@merck.com Biometrics Research,Merck Research Labs Leo Breiman, leo@stat.berkeley.edu Department of Statistics,UC Berkeley Abstract In this paper we propose two ways to deal with the imbalanced data classification problem using random forest.
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