This document discusses ensemble learning methods. It begins by introducing the concept of ensemble learning, which involves combining multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone. It then discusses several popular ensemble methods, including boosting, bagging, random forests, and DECORATE. Boostin
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