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Bridging accuracy and interpretability: A rescaled cluster-then-predict approach for enhanced credit scoring
Huei Wen Teng
*
,
Ming Hsuan Kang
, I. Han Lee
, Le Chi Bai
*
此作品的通信作者
資訊管理與財務金融學系
應用數學系
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引文 斯高帕斯（Scopus）
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Keyphrases
Credit Scoring
100%
Logistic Regression
66%
Credit Scoring Model
66%
Financial Industry
66%
XGBoost
66%
Performance Prediction
33%
Competitive Performance
33%
Computational Requirements
33%
Computationally Efficient
33%
Step Processes
33%
Financial Institutions
33%
Predictive Methods
33%
XGBoost Algorithm
33%
Creditworthiness
33%
Risk-adjusted Returns
33%
Stakeholder Decision-making
33%
Computer Science
Interpretability
100%
Extreme Gradient Boosting
100%
Logistic Regression
66%
Financial Industry
66%
Decision-Making
33%
Practical Implication
33%
Predictive Performance
33%
Critical Aspect
33%
Mathematics
Interpretability
100%
Scoring Model
66%
Logistic Regression
66%
Predictive Performance
33%
Step Process
33%
Economics, Econometrics and Finance
Credit Rating
100%
Industry
33%
Logit Model
33%
Financial Institution
16%