Predicting Loan Repayment Using a Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks

Pham Thanh Binh; Nguyễn Đình Thuân

doi:10.1007/978-981-19-8069-5_11

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Predicting Loan Repayment Using a Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks

Pham Thanh Binh Nguyễn Đình Thuân

Year: 2022 Communications in computer and information science Pages: 161-175 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-19-8069-5_11

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Keywords:

Logistic regression Loan Decision tree Machine learning Computer science Artificial intelligence Artificial neural network Feature selection Decision tree learning Financial institution Logistic model tree Finance Actuarial science Econometrics Business Mathematics

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Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Artificial Intelligence in Healthcare

Health Sciences → Health Professions → Health Information Management

Predicting Loan Repayment Using a Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks

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