Chunk #128 — Features and Pitfalls — Bias in Variable Selection and Variable Importance

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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 applications in R, the functions ctree for classification and regression trees and cforest for bagging and random forests (both freely available in the add-on package party; Hothorn et al. 2006; Hothorn, Hornik, and Zeileis 2008) guarantee unbiased variable selection when used with the default parameter settings, as documented in the supplement to this work.