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Intervention in prediction measure: a new approach to assessing variable importance for random forests

BACKGROUND: Random forests are a popular method in many fields since they can be successfully applied to complex data, with a small sample size, complex interactions and correlations, mixed type predictors, etc. Furthermore, they provide variable importance measures that aid qualitative interpretati...

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Detalles Bibliográficos
Autor principal:	Epifanio, Irene
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414143/ https://www.ncbi.nlm.nih.gov/pubmed/28464827 http://dx.doi.org/10.1186/s12859-017-1650-8

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