Induction of model trees for predicting continuous classes

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Title

Induction of model trees for predicting continuous classes

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

Many problems encountered when applying machine learning in practice involve predicting a "class" that takes on a continuous numeric value, yet few machine learning schemes are able to do this. This paper describes a "rational reconstruction" of M5, a method developed by Quinlan (1992) for inducing trees of regression models. In order to accommodate data typically encountered in practice it is necessary to deal effectively with enumerated attributes and with missing values, and techniques dev...

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Format

Research paper

Research format

Working or discussion paper

Date created

1996

Creator

Wang, Yong / Witten, Ian H.

URL

https://hdl.handle.net/10289/1183

Related subjects

computer science / regression / tree-based learning / continuous classes / nonlinear / nonparametric / M5 / CART / Machine learning

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