Understanding the Performance of Machine Learning Models to Predict Credit Default: A Novel Approach for Supervisory Evaluation
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Elsevier BV
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A comparative analysis and prediction of the economic growth of Pakistan using machine learning models;Natural and Applied Sciences International Journal (NASIJ);2024-04-13
2. Exploring the Performance of XGBOOST and Artificial Neural Network in Personal Credit Default Prediction: An Empirical Study;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19
3. Revisiting SME default predictors: The Omega Score;Journal of Small Business Management;2022-11-28
4. Design of a personalized recommender system using sentiment analysis in social media (case study: banking system);Social Network Analysis and Mining;2022-07-19
5. Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction;Financial Innovation;2022-07-12
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