Technical note: Some properties of splitting criteria

22Citations
Citations of this article
130Readers
Mendeley users who have this article in their library.

Abstract

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. © 1996 Kluwer Academic Publishers,.

Author supplied keywords

Cite

CITATION STYLE

APA

Breiman, L. (1996). Technical note: Some properties of splitting criteria. Machine Learning, 24(1), 41–47. https://doi.org/10.1007/bf00117831

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free