4.2 Article

Selecting the best splits for classification trees with categorical variables

Journal

STATISTICS & PROBABILITY LETTERS
Volume 54, Issue 4, Pages 341-345

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/S0167-7152(00)00188-7

Keywords

classification tree; power divergence; splitting criteria

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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. (C) 2001 Elsevier Science B.V. All rights reserved.

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