Hollow-tree super: A directional and scalable approach for feature importance in boosted tree models

PURPOSE: Current limitations in methodologies used throughout machine-learning to investigate feature importance in boosted tree modelling prevent the effective scaling to datasets with a large number of features, particularly when one is investigating both the magnitude and directionality of variou...

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Detalles Bibliográficos
Autores principales: Doyen, Stephane, Taylor, Hugh, Nicholas, Peter, Crawford, Lewis, Young, Isabella, Sughrue, Michael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544862/
https://www.ncbi.nlm.nih.gov/pubmed/34695143
http://dx.doi.org/10.1371/journal.pone.0258658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544862/
https://www.ncbi.nlm.nih.gov/pubmed/34695143
http://dx.doi.org/10.1371/journal.pone.0258658

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