Chunk #110 — Further Application Examples — Random Forests

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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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Note that a logistic regression model would not be applicable in a sample of this size, even for the reduced data set with only 102 genes – not even if forward selection was employed and only main effects were considered, disregarding the possibility of interaction effects – because the estimation algorithm does not converge.