Methodology article
Bias in random forest variable importance measures: Illustrations, sources and a solution
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* Corresponding author: Carolin Strobl carolin.strobl@stat.uni-muenchen.de
1 Institut für Statistik, Ludwig-Maximilians-Universität München, Ludwigstr. 33, 80539 München, Germany
2 Institut für medizinische Statistik und Epidemiologie, Technische Universität München, Ismaningerstr. 22, 81675 München, Germany
3 Department für Statistik und Mathematik, Wirtschaftsuniversität Wien, Augasse 2-6, 1090 Wien, Austria
4 Institut für Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universtität Erlangen-Nürnberg, Waldstr. 6, D-91054 Erlangen, Germany
BMC Bioinformatics 2007, 8:25 doi:10.1186/1471-2105-8-25
Published: 25 January 2007Additional files
Additional File 1:
R source code. The exemplary R source code includes all function calls and comments on all important options of the randomForest and cforest functions, that were used in the simulation studies and the application to C-to-U conversion data. Please install the latest versions of the packages randomForest and party before use.
Format: R Size: 8KB Download file
