The parameter sensitivity of random forests

BACKGROUND: The Random Forest (RF) algorithm for supervised machine learning is an ensemble learning method widely used in science and many other fields. Its popularity has been increasing, but relatively few studies address the parameter selection process: a critical step in model fitting. Due to n...

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Detalles Bibliográficos
Autores principales: Huang, Barbara F.F., Boutros, Paul C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009551/
https://www.ncbi.nlm.nih.gov/pubmed/27586051
http://dx.doi.org/10.1186/s12859-016-1228-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009551/
https://www.ncbi.nlm.nih.gov/pubmed/27586051
http://dx.doi.org/10.1186/s12859-016-1228-x

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