Chunk #112 — Further Application Examples — Random Forests

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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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To further explore and interpret the effects and interactions of the predictor variables that were found relevant in a random forest, multivariate data visualization tools, such as those described in Cook and Swayne (2007), are strongly suggested.