Decision Stump

11Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A decision stump is a Decision Tree, which uses only a single attribute for splitting. For discrete attributes, this typically means that the tree consists only of a single interior node (i.e., the root has only leaves as successor nodes). If the attribute is numerical, the tree may be more complex.

Cite

CITATION STYLE

APA

Fürnkranz, J. (2017). Decision Stump. In Encyclopedia of Machine Learning and Data Mining (pp. 330–330). Springer Science+Business Media. https://doi.org/10.1007/978-1-4899-7687-1_285

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