Chunk #47 — The Methods — How Do Classification and Regression Trees Work? — Prediction and Interpretation of Classification and Regression 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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For exploratory data analysis, further means for illustrating the effects of particular variables in classification trees are provided by the partial dependence plots described in Hastie, Tibshirani, and Friedman (2001, 2009) and the CARTscans toolbox (Nason, Emerson, and Leblanc 2004).