1997 InducingModelTreesforContinuousClas

• (Wang & Witten, 1997) ⇒ Yong Wang, and Ian H. Witten. (1997). “Inducing Model Trees for Continuous Classes.” In: Proceedings of the European Conference on Machine Learning.

Subject Headings: Regression Tree Induction Algorithm.

Cited By

• http://scholar.google.com/scholar?q=%22Inducing+model+trees+for+continuous+classes%22+

Quotes

Abstract

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 devised by Breiman et al. (1984) are adapted for this purpose. The resulting system seems to outperform M5, based on the scanty published data that is available.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1997 InducingModelTreesforContinuousClas	Ian H. Witten Yong Wang			Inducing Model Trees for Continuous Classes