Improving binary crow search algorithm for feature selection

The feature selection (FS) process has an essential effect in solving many problems such as prediction, regression, and classification to get the optimal solution. For solving classification problems, selecting the most relevant features of a dataset leads to better classification accuracy with low...

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Bibliographic Details

Published in:	Journal of intelligent systems Vol. 32; no. 1; pp. 1598 - 610
Main Authors:	Hamed Alnaish, Zakaria A., Algamal, Zakariya Yahya
Format:	Journal Article
Language:	English
Published:	Berlin De Gruyter 16-02-2023 Walter de Gruyter GmbH
Subjects:	Accuracy Antiinfectives and antibacterials binary crow search algorithm Classification Computational efficiency Computing time Datasets Feature selection Glycoproteins Performance evaluation quasi-oppositional method Search algorithms
Online Access:	Get full text
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