Optimization and prediction of corporate credit rating through advanced feature selection based on AI and deep learning
Accurate prediction of corporate credit ratings is essential for financial decision-making and risk management. This study offers a comprehensive evaluation of six machine learning algorithms—Random Forest (RF), eXtreme Gradient Boosting (XGBoost), Logistic Regression (LR), Support Vector Machine On...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825006635 |
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