Technical note: Some properties of splitting criteria

Various criteria have been proposed for deciding which split is best at a given node of a binary classification tree. Consider the question: given a goodness-of-split criterion and the class populations of the instances at a node, what distribution of the instances between the two children nodes max...

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Veröffentlicht in:Machine learning 1996-07, Vol.24 (1), p.41-47
1. Verfasser: Breiman, Leo
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
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Zusammenfassung:Various criteria have been proposed for deciding which split is best at a given node of a binary classification tree. Consider the question: given a goodness-of-split criterion and the class populations of the instances at a node, what distribution of the instances between the two children nodes maximizes the goodness-of-split criterion? The answers reveal an interesting distinction between the gini and entropy criterion.
ISSN:0885-6125
1573-0565
DOI:10.1007/BF00117831