Chunk #111 — Further Application Examples — Random Forests

Source

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

Embedded

yes

Text

In other cases, however, the prediction accuracy of the complex random forests model, involving high-order interactions and nonlinearity, can be compared to that of a simpler, for example linear or logistic regression model including only low-order interactions, to guide the decision whether the simpler, interpretable model would be equally adequate.