Selecting the best splits for classification trees with categorical variables

Yu-Shan Shih

Statistics & Probability Letters, 2001, vol. 54, issue 4, 341-345

Abstract: Based on a family of splitting criteria for classification trees, methods of selecting the best categorical splits are studied. They are shown to be very useful in reducing the computational complexity of the exhaustive search method.

Keywords: Classification; tree; Power; divergence; Splitting; criteria (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (2)

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