Chunk #78 — The Methods — Predictions from Ensembles of Trees

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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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However, in most real data applications – especially in cases where many predictor variables work in complex interactions – the prediction accuracy of random forests is found to be higher than for bagging, and both ensemble methods usually highly outperform single trees.