Literature Review on Hybrid Evolutionary Approaches for Feature Selection

Literature Review on Hybrid Evolutionary Approaches for Feature Selection

The efficiency and the effectiveness of a machine learning (ML) model are greatly influenced by feature selection (FS), a crucial preprocessing step in machine learning that seeks out the ideal set of characteristics with the maximum accuracy possible. Due to their dominance over traditional optimiz...

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Bibliographic Details
Main Authors: Jayashree Piri, Puspanjali Mohapatra, Raghunath Dey, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Algorithms
Subjects:
metaheuristics
feature selection
hybridization
evolutionary methods
classification
Online Access:https://www.mdpi.com/1999-4893/16/3/167

Internet

https://www.mdpi.com/1999-4893/16/3/167

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