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

Bárbara Cervantes, Raúl Monroy, Miguel Angel Medina-Pérez, Miguel González-Mendoza, Jose 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. of AI, 67:270-282, 2018. [doi]

Abstract

Abstract is missing.