Ensemble Feature Selection in Binary Machine Learning Classification: A Novel Application of the Evaluation Based on Distance from Average Solution (EDAS) Method
Dharyll Prince M. Abellana,1Robert R. Roxas,1Demelo M. Lao,1Paula E. Mayol,1and Sanghyuk Lee2 Abstract Combining filters in an ensemble to improve feature selection performance is a growing field in the literature. Current techniques, however, are focused on approaches that suffer from drawbacks such as sensitivity to skewed distribution, among others. To address this gap, this paper investigates the applicability of multiple criteria...
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