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

BACKGROUND: 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 (VIMs) used in RF have come to apparently contradictor...

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Detalles Bibliográficos
Autores principales: Nicodemus, Kristin K, Malley, James D, Strobl, Carolin, Ziegler, Andreas
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848005/
https://www.ncbi.nlm.nih.gov/pubmed/20187966
http://dx.doi.org/10.1186/1471-2105-11-110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848005/
https://www.ncbi.nlm.nih.gov/pubmed/20187966
http://dx.doi.org/10.1186/1471-2105-11-110

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