A comprehensive survey of imbalanced learning methods for bankruptcy prediction

Abstract In practical datasets used for supervised learning, the uneven distribution of the amounts of data between classes is known as the class imbalance problem, and can reduce the performance of basic classifiers. The class imbalance problem arises in various areas such as medical diagnosis, spa...

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Bibliographic Details
Main Author: Tuong Le
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:IET Communications
Subjects:
Online Access:https://doi.org/10.1049/cmu2.12268
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