Original paper

Predictive learning via rule ensembles

Volume: 2, Issue: 3
Published: Sep 1, 2008
Abstract
General regression and classification models are constructed as linear combinations of simple rules derived from the data. Each rule consists of a conjunction of a small number of simple statements concerning the values of individual input variables. These rule ensembles are shown to produce predictive accuracy comparable to the best methods. However, their principal advantage lies in interpretation. Because of its simple form, each rule is easy...
Paper Details
Title
Predictive learning via rule ensembles
Published Date
Sep 1, 2008
Volume
2
Issue
3
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