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Chunk #53 — The Methods — How Do Classification and Regression Trees Work? — What is Wrong with 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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Thus, as an undesired side effect of the recursive partitioning approach, the entire tree structure could be altered if the first splitting variable, or only the first cutpoint, was chosen differently due to a small change in the learning data. Due to this instability, the predictions of single trees show a high variability.