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

BACKGROUND: Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and related scientific fields, for instance to select a subset of genetic markers relevant for the prediction of a certa...

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Detalles Bibliográficos
Autores principales: Strobl, Carolin, Boulesteix, Anne-Laure, Zeileis, Achim, Hothorn, Torsten
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1796903/
https://www.ncbi.nlm.nih.gov/pubmed/17254353
http://dx.doi.org/10.1186/1471-2105-8-25

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1796903/
https://www.ncbi.nlm.nih.gov/pubmed/17254353
http://dx.doi.org/10.1186/1471-2105-8-25

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