A novel hybrid binary whale optimization algorithm with chameleon hunting mechanism for wrapper feature selection in QSAR classification model:A drug-induced liver injury case study

High dimensionality is one of the main challenges in Quantitative Structure-Activity Relationship (QSAR) classification modeling, and feature selection as an effective dimensionality reduction method plays an important role in machine learning, particularly in fields such as chemometrics. In this pa...

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Vydané v:	Expert systems with applications Ročník 234; s. 121015
Hlavní autori:	Zhou, Ronghe, Zhang, Yong, He, Kai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 30.12.2023
Predmet:	Chameleon predation Chaos weighting factor Feature section Hybrid binary whale optimization algorithm QSAR Retractable transformation strategy Hybrid binary whale optimization algorithm Feature section Retractable transformation strategy QSAR Chaos weighting factor Chameleon predation
ISSN:	0957-4174, 1873-6793
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