Chunk #109 — Further Application Examples — Random Forests

Source

An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

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For the entire learning sample the prediction accuracy estimate is over-optimistic (90.16%), while the estimate based on the out-of-bag sample is more conservative (67.21%). The confusion matrices in Table 2 display misclassifications separately for each response class.