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Understanding the Performance of Machine Learning Models to Predict Credit Default: A Novel Approach for Supervisory Evaluation

机译：了解机器学习模型的性能预测信用违约：一种用于监督评估的新方法

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Andrés Alonso; Jose Manuel Carbo;
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年度 2021
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1. Machine learning models for credit analysis improvements: Predicting low-income families' default [J] . de Castro Vieira Jose Romulo, Barboza Flavio, Sobreiro Vinicius Amorim, Applied Soft Computing . 2019,第期

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2. Nonparametric machine learning models for predicting the credit default swaps: An empirical study [J] . Son Youngdoo, Byun Hyeongmin, Lee Jaewook Expert Systems with Application . 2016,第Octa期

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3. Estimation Procedures of Using Five Alternative Machine Learning Methods for Predicting Credit Card Default [J] . Huei-Wen Teng, Michael Lee International Journal of Productivity and Quality Management . 2019,第3期

机译：使用五种替代机器学习方法预测信用卡违约的估计程序
4. Credit Default Mining Using Combined Machine Learning and Heuristic Approach [C] . Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor International Conference on Data Science . 2018

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5. Predicting Credit Default Risk via Statistical Model and Machine Learning Algorithms [D] . Choubey, Anand Mohan. 2018

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6. Toward a Machine Learning Predictive-Oriented Approach to Complement Explanatory Modeling. An Application for Evaluating Psychopathological Traits Based on Affective Neurosciences and Phenomenology [O] . Pasquale Dolce, Davide Marocco, Mauro Nelson Maldonato, 2020

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7. Machine Learning Approaches to Predict Default of Credit Card Clients [O] . Ruilin Liu 2018

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Understanding the Performance of Machine Learning Models to Predict Credit Default: A Novel Approach for Supervisory Evaluation

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