The behaviour of random forest permutation-based variable importance measures under predictor correlation

The behaviour of random forest permutation-based variable importance measures under predictor correlation

<p>Abstract</p> <p>Background</p> <p>Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observed. Recent works on permutation-based variable importance measures...

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Bibliographic Details
Main Authors: Malley James D, Nicodemus Kristin K, Strobl Carolin, Ziegler Andreas
Format: Article
Language:English
Published: BMC 2010-02-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/11/110

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http://www.biomedcentral.com/1471-2105/11/110

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