MSFSS: A whale optimization-based multiple sampling feature selection stacking ensemble algorithm for classifying imbalanced data

Learning from imbalanced data is a challenging task in the machine learning field, as with this type of data, many traditional supervised learning algorithms tend to focus more on the majority class while damaging the interests of the minority class. Stacking ensemble, which formulates an ensemble b...

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Veröffentlicht in:	AIMS mathematics Jg. 9; H. 7; S. 17504 - 17530
Hauptverfasser:	Wang, Shuxiang, Shao, Changbin, Xu, Sen, Yang, Xibei, Yu, Hualong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	AIMS Press 01.01.2024
Schlagworte:	feature selection imbalanced data classification meta learning sampling stacking ensemble whale optimization algorithm
ISSN:	2473-6988, 2473-6988
Online-Zugang:	Volltext
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