Conditional variable importance for random forests

BACKGROUND: Random forests are becoming increasingly popular in many scientific fields because they can cope with "small n large p" problems, complex interactions and even highly correlated predictor variables. Their variable importance measures have recently been suggested as screening to...

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Detalles Bibliográficos
Autores principales: Strobl, Carolin, Boulesteix, Anne-Laure, Kneib, Thomas, Augustin, Thomas, Zeileis, Achim
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2491635/
https://www.ncbi.nlm.nih.gov/pubmed/18620558
http://dx.doi.org/10.1186/1471-2105-9-307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2491635/
https://www.ncbi.nlm.nih.gov/pubmed/18620558
http://dx.doi.org/10.1186/1471-2105-9-307

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