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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Vydané v:	Journal of intelligent systems Ročník 32; číslo 1; s. 1598 - 610
Hlavní autori:	Hamed Alnaish, Zakaria A., Algamal, Zakariya Yahya
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin De Gruyter 01.01.2023 Walter de Gruyter GmbH
Predmet:	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
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