Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach

Random forests (RFs) are a widely used modelling tool capable of feature selection via a variable importance measure (VIM), however, a threshold is needed to control for false positives. In the absence of a good understanding of the characteristics of VIMs, many current approaches attempt to select...

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Detalles Bibliográficos
Autores principales: Dunne, Robert, Reguant, Roc, Ramarao-Milne, Priya, Szul, Piotr, Sng, Letitia M.F., Lundberg, Mischa, Twine, Natalie A., Bauer, Denis C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497997/
https://www.ncbi.nlm.nih.gov/pubmed/37711185
http://dx.doi.org/10.1016/j.csbj.2023.08.033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497997/
https://www.ncbi.nlm.nih.gov/pubmed/37711185
http://dx.doi.org/10.1016/j.csbj.2023.08.033

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