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Chunk #17 — The Methods — How Do Classification and Regression Trees Work?

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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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Our aim is to predict the adolescents’ intention to smoke a cigarette within the next year (binary response variable intention_to_smoke) from four candidate risk factors (the binary predictor variables lied_to_parents, indicating whether the subject has ever lied to the parents about doing something they would not approve of, and friends_smoke, indicating peer smoking of one or more among the four best friends, as well as the numeric predictor variables age, indicating the age in years, and alcohol_per_month, indicating how many times the subject drank alcohol in the past month).