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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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832 views • 35 slides

Ensemble Learning: An Introduction

Ensemble Learning: An Introduction. Adapted from Slides by Tan, Steinbach, Kumar. General Idea. Why does it work?. Suppose there are 25 base classifiers Each classifier has error rate, ? = 0.35 Assume classifiers are independent

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518 views • 30 slides

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Unpruned decision trees - PowerPoint PPT Presentation

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

Ensemble Learning: An Introduction