A Novel Multi-Stage Ensemble Model With a Hybrid Genetic Algorithm for Credit Scoring on Imbalanced Data

A Novel Multi-Stage Ensemble Model With a Hybrid Genetic Algorithm for Credit Scoring on Imbalanced Data

Credit scoring models are the cornerstone of the modern financial industry. After years of development, artificial intelligence and machine learning have led to the transformation of traditional credit scoring models based on statistics. In this study, a novel multi-stage ensemble model with a hybri...

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Bibliographic Details
Main Authors: Yilun Jin, Wenyu Zhang, Xin Wu, Yanan Liu, Zeqian Hu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Credit scoring
imbalanced data
genetic algorithm
ensemble model
Online Access:https://ieeexplore.ieee.org/document/9570392/

Internet

https://ieeexplore.ieee.org/document/9570392/

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