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Machine Learning Approaches to Predict Default of Credit Card Clients
1 references·1 citing·8 second hop
Machine Learning Approaches to Predict Default of Credit Card Clients (2018)Machine Learning Approaches to Predict De…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach (2021)Predicting Credit Risk for Un…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)Credit Risk Analysis Using Machine and Deep Learning Models (2018)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)
this work references cited by second hop

References

  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited

Cited by

  • 2021Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach11 cited

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