"Some features speak loud, but together they all speak louder: A study on ..."

Bárbara Cervantes et al. (2018)

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DOI: 10.1016/J.ENGAPPAI.2017.10.007

access: closed

type: Journal Article

metadata version: 2023-06-26

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Bárbara Cervantes, Raúl Monroy, Miguel Angel Medina-Pérez, Miguel González-Mendoza, Jose Emmanuel Ramirez-Marquez:
Some features speak loud, but together they all speak louder: A study on the correlation between classification error and feature usage in decision-tree classification ensembles. Eng. Appl. Artif. Intell. 67: 270-282 (2018)

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