Resampling Techniques Study on Class Imbalance Problem in Credit Risk Prediction

Resampling Techniques Study on Class Imbalance Problem in Credit Risk Prediction

Credit risk prediction heavily relies on historical data provided by financial institutions. The goal is to identify commonalities among defaulting users based on existing information. However, data on defaulters is often limited, leading to a concentration of credit data where positive samples (def...

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Bibliographic Details
Main Authors:	Zixue Zhao, Tianxiang Cui, Shusheng Ding, Jiawei Li, Anthony Graham Bellotti
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Mathematics
Subjects:	credit risk prediction resampling class imbalance
Online Access:	https://www.mdpi.com/2227-7390/12/5/701

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