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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Veröffentlicht in:	Expert systems with applications Jg. 234; S. 121015
Hauptverfasser:	Zhou, Ronghe, Zhang, Yong, He, Kai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 30.12.2023
Schlagworte:	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
Online-Zugang:	Volltext
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