Chunk #145 — Features and Pitfalls — Do Random Forests Overfit?

Source

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

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With respect to the theoretical foundations and practical application of random forests, Segal (2004) implies that the depth of the trees in random forests, rather than the number of trees as suspected, e.g., by Luellen et al. (2005), may regulate overfitting.