My Publications | ||||||||
---|---|---|---|---|---|---|---|---|
S/N | Title | Abstract | Authors | Volume Numbers | Publication Type | Publication Date | Link | |
1 | Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF |
Financial credit risk analysis management has been a foremost influence with a lot of challenges, especially for banks reducing their principal loss. In this study, the machine learning technique is a promising area used for credit scoring for analyzing risks in banks. It has become critical to extract beneficial knowledge for a great number of complex datasets. In this study, a machine learning approach using Chi-Square with SVM-RBF classifier was analyzed for Taiwan bank credit data. The model provides important information with enhanced accuracy that will help in predicting loan status. The experiment achieves 93% accuracy compared to the state-of-the-art. Keywords: Credit risk · Chi-square · SVM · Bank · Machine learning | Omotosho K.A., Abdulsalam S.O., Ogundokun R.O. and Arowolo M.O. | 158-169 | International-based Publication | 2020-11-24 | https://www.springerprofessional.de/en/credit-risk-prediction-in-commercial-bank-using-chi-square-with-/18872570 |