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DOI: 10.1177/0049124105283119 An Introduction to Ensemble Methods for Data AnalysisUniversity of California, Los Angeles This article provides an introduction to ensemble statistical procedures as a special case of algorithmic methods. The discussion begins with classification and regression trees (CART) as a didactic device to introduce many of the key issues. Following the material on CART is a consideration of cross-validation, bagging, random forests, and boosting. Major points are illustrated with analyses of real data.
Key Words: CART data analysis algorithmic methods ensemble methods
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