Random forest versus logistic regression: a large-scale benchmark experiment

BACKGROUND AND GOAL: The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific fields. R...

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Detalles Bibliográficos
Autores principales: Couronné, Raphael, Probst, Philipp, Boulesteix, Anne-Laure
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050737/
https://www.ncbi.nlm.nih.gov/pubmed/30016950
http://dx.doi.org/10.1186/s12859-018-2264-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050737/
https://www.ncbi.nlm.nih.gov/pubmed/30016950
http://dx.doi.org/10.1186/s12859-018-2264-5

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