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A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data

A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data. Author: Gustavo E. A. Batista Presenter: Hui Li University of Ottawa. Contents. Introduction Why Learning from Imbalanced data sets might be difficult? 10 Methods Experimental Evaluation Conclusion.

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A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data