Chunk #79 — The Methods — 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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As described in the previous sections, single classification trees are easily interpretable, both intuitively at first glance and descriptively when looking in detail at the tree structure. In particular variables that are not included in the tree did not contribute to the model – at least not in the context of the previously chosen splitting variables.