IBGJO: Improved Binary Golden Jackal Optimization with Chaotic Tent Map and Cosine Similarity for Feature Selection

IBGJO: Improved Binary Golden Jackal Optimization with Chaotic Tent Map and Cosine Similarity for Feature Selection

Feature selection is a crucial process in machine learning and data mining that identifies the most pertinent and valuable features in a dataset. It enhances the efficacy and precision of predictive models by efficiently reducing the number of features. This reduction improves classification accurac...

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Bibliographic Details
Main Authors: Kunpeng Zhang, Yanheng Liu, Fang Mei, Geng Sun, Jingyi Jin
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Entropy
Subjects:
feature selection
machine learning
classification
chaotic
cosine similarity
golden jackal optimization
Online Access:https://www.mdpi.com/1099-4300/25/8/1128

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https://www.mdpi.com/1099-4300/25/8/1128

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