Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests

The diversity forest algorithm is an alternative candidate node split sampling scheme that makes innovative complex split procedures in random forests possible. While conventional univariable, binary splitting suffices for obtaining strong predictive performance, new complex split procedures can hel...

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Detalles Bibliográficos
Autor principal: Hornung, Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533673/
https://www.ncbi.nlm.nih.gov/pubmed/34723205
http://dx.doi.org/10.1007/s42979-021-00920-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533673/
https://www.ncbi.nlm.nih.gov/pubmed/34723205
http://dx.doi.org/10.1007/s42979-021-00920-1

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