A Novel Algorithm for Credit Default Prediction using TabNet
Author:
Affiliation:
1. Shanghai University of Finance and Economics,Shanghai,China
2. Xinjiang University,Urumqi,China
3. University of Toronto,Toronto,Canada
4. Wuhan University,Wuhan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10434935/10434274/10435411.pdf?arnumber=10435411
Reference11 articles.
1. CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE
2. An academic review: applications of data mining techniques in finance industry[J];Jadhav;International Journal of Soft Computing and Artificial Intelligence,2016
3. Consumer credit risk: Individual probability estimates using machine learning
4. Classification methods applied to credit scoring: Systematic review and overall comparison
5. Fraud detection in big data using supervised and semi-supervised learning techniques
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