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Letter to the Editor: On the term ‘interaction’ and related phrases in the literature on Random Forests

In an interesting and quite exhaustive review on Random Forests (RF) methodology in bioinformatics Touw et al. address—among other topics—the problem of the detection of interactions between variables based on RF methodology. We feel that some important statistical concepts, such as ‘interaction’, ‘...

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Detalles Bibliográficos
Autores principales: Boulesteix, Anne-Laure, Janitza, Silke, Hapfelmeier, Alexander, Van Steen, Kristel, Strobl, Carolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364067/
https://www.ncbi.nlm.nih.gov/pubmed/24723569
http://dx.doi.org/10.1093/bib/bbu012
Descripción
Sumario:In an interesting and quite exhaustive review on Random Forests (RF) methodology in bioinformatics Touw et al. address—among other topics—the problem of the detection of interactions between variables based on RF methodology. We feel that some important statistical concepts, such as ‘interaction’, ‘conditional dependence’ or ‘correlation’, are sometimes employed inconsistently in the bioinformatics literature in general and in the literature on RF in particular. In this letter to the Editor, we aim to clarify some of the central statistical concepts and point out some confusing interpretations concerning RF given by Touw et al. and other authors.