Andre Pratama Adiwijaya

Optimization of Support Vector Machine for Imbalanced Credit Risk Classification

The study demonstrates that credit-risk models should be selected based on balanced default detection rather than overall accuracy alone and demonstrates that the SVM model trained without standardization failed to identify default clients effectively.