Selecting the best splits for classification trees with categorical variables

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.

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Year of publication:	2001
Authors:	Shih, Yu-Shan
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 54.2001, 4, p. 341-345
Publisher:	Elsevier
Keywords:	Classification tree Power divergence Splitting criteria

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005074665