An Optimized Hybrid Approach for Feature Selection Based on Chi-Square and Particle Swarm Optimization Algorithms

Feature selection is a significant issue in the machine learning process. Most datasets include features that are not needed for the problem being studied. These irrelevant features reduce both the efficiency and accuracy of the algorithm. It is possible to think about feature selection as an optimi...

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Principais autores:	Amani Abdo, Rasha Mostafa, Laila Abdel-Hamid
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-01-01
coleção:	Data
Assuntos:	feature selection artificial intelligence chi-square particle swarm optimization grey wolf optimization swarm intelligence
Acesso em linha:	https://www.mdpi.com/2306-5729/9/2/20
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