Recursive Partitioning

S. Landau; S. Barthel

doi:10.1016/B978-0-08-044894-7.01314-2

Recursive Partitioning

S. Landau, S. Barthel

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Abstract

This article provides an introduction to recursive partitioning techniques; that is, methods that predict the value of a response variable by forming subgroups of subjects within which the response is relatively homogeneous on the basis of the values of a set of predictor variables. Resulting rules are conveniently summarized by a decision tree referred to as a classification tree for categorical responses and as a regression tree for continuous responses. We demonstrate the steps involved in the construction of such trees by using two data sets, one on Irish school children and another on leading companies.

Original language	English
Title of host publication	International Encyclopedia of Education, Third Edition
Publisher	Elsevier
Pages	383-389
Number of pages	7
ISBN (Electronic)	9780080448947
DOIs	https://doi.org/10.1016/B978-0-08-044894-7.01314-2
Publication status	Published - 1 Jan 2009

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10.1016/B978-0-08-044894-7.01314-2

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Recursive Partitioning

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