Chunk #70 — The Methods — How Do Ensemble Methods Work? — Alternative Ensemble Methods

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An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

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Alternative approaches for building ensembles of trees with a strong randomization component are the random split selection approach of Dietterich (2000), where cutpoints from a set of optimal candidates are randomly selected, and the perfect random trees approach of Cutler (1999) and Cutler (2000), where both the splitting variable and the cutpoint are chosen randomly for each split.