Denying Evolution Resampling: An Improved Method for Feature Selection on Imbalanced Data

Denying Evolution Resampling: An Improved Method for Feature Selection on Imbalanced Data

Imbalanced data classification is an important problem in the field of computer science. Traditional classification algorithms often experience a decrease in accuracy when the data distribution is uneven. Therefore, measures need to be taken to improve the balance of the dataset and enhance the clas...

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Bibliographic Details
Main Authors:	Li Quan, Tao Gong, Kaida Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Electronics
Subjects:	classification algorithms imbalanced data similarity measure evolutionary process
Online Access:	https://www.mdpi.com/2079-9292/12/15/3212

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