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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Veröffentlicht in:	Journal of intelligent systems Jg. 32; H. 1; S. 1598 - 610
Hauptverfasser:	Hamed Alnaish, Zakaria A., Algamal, Zakariya Yahya
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin De Gruyter 01.01.2023 Walter de Gruyter GmbH
Schlagworte:	Accuracy Antiinfectives and antibacterials binary crow search algorithm Classification Computational efficiency Computing time Datasets Feature selection Glycoproteins Performance evaluation quasi-oppositional method Search algorithms
ISSN:	2191-026X, 0334-1860, 2191-026X
Online-Zugang:	Volltext
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