Bias in random forest variable importance measures: Illustrations, sources and a solution

Bibliographic Details
Main Authors: Strobl, Carolin, Boulesteix, Anne-Laure, Zeileis, Achim, Hothorn, Torsten
Format: Online
Language:English
Published: BioMed Central 2007
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1796903/
id pubmed-1796903
recordtype oai_dc
spelling pubmed-17969032007-02-16 Bias in random forest variable importance measures: Illustrations, sources and a solution Strobl, Carolin Boulesteix, Anne-Laure Zeileis, Achim Hothorn, Torsten Methodology Article BioMed Central 2007-01-25 /pmc/articles/PMC1796903/ /pubmed/17254353 http://dx.doi.org/10.1186/1471-2105-8-25 Text en Copyright © 2007 Strobl et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Strobl, Carolin
Boulesteix, Anne-Laure
Zeileis, Achim
Hothorn, Torsten
spellingShingle Strobl, Carolin
Boulesteix, Anne-Laure
Zeileis, Achim
Hothorn, Torsten
Bias in random forest variable importance measures: Illustrations, sources and a solution
author_facet Strobl, Carolin
Boulesteix, Anne-Laure
Zeileis, Achim
Hothorn, Torsten
author_sort Strobl, Carolin
title Bias in random forest variable importance measures: Illustrations, sources and a solution
title_short Bias in random forest variable importance measures: Illustrations, sources and a solution
title_full Bias in random forest variable importance measures: Illustrations, sources and a solution
title_fullStr Bias in random forest variable importance measures: Illustrations, sources and a solution
title_full_unstemmed Bias in random forest variable importance measures: Illustrations, sources and a solution
title_sort bias in random forest variable importance measures: illustrations, sources and a solution
description
publisher BioMed Central
publishDate 2007
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1796903/
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