A selective evolutionary heterogeneous ensemble algorithm for classifying imbalanced data

Learning from imbalanced data is a challenging task, as with this type of data, most conventional supervised learning algorithms tend to favor the majority class, which has significantly more instances than the other classes. Ensemble learning is a robust solution for addressing the imbalanced class...

Full description

Bibliographic Details

Published in:	Electronic Research Archive
Main Authors:	Xiaomeng An, Sen Xu
Format:	Article
Language:	English
Published:	AIMS Press 2023-03-01
Subjects:	class imbalance learning ensemble learning heterogeneous ensemble evolutionary computation bagging
Online Access:	https://www.aimspress.com/article/doi/10.3934/era.2023138?viewType=HTML