The revival of the Gini importance?

MOTIVATION: Random forests are fast, flexible and represent a robust approach to analyze high dimensional data. A key advantage over alternative machine learning algorithms are variable importance measures, which can be used to identify relevant features or perform variable selection. Measures based...

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Detalles Bibliográficos
Autores principales: Nembrini, Stefano, König, Inke R, Wright, Marvin N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198850/
https://www.ncbi.nlm.nih.gov/pubmed/29757357
http://dx.doi.org/10.1093/bioinformatics/bty373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198850/
https://www.ncbi.nlm.nih.gov/pubmed/29757357
http://dx.doi.org/10.1093/bioinformatics/bty373

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