Regression and Classification Trees
Regression trees and classification trees are suggested as tools to be able to assess the appropriateness of covariates and factors, together with their interactions for linear models. The use of regression and classification trees is demonstrated using the same example dataset as was used in Chap. 15. Random forests, boosting and neural networks can also have benefits, and these are also briefly discussed.
KeywordsRandom Forest Tree Model Regression Tree Bootstrap Sample Classification Tree
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