FRAUD DETECTION IN FINTECH AND DIGITAL PAYMENTS USING A HYBRID MODEL COMBINING MACHINE LEARNING AND RISK MONITORING
The rapid development of Fintech and digital payments has increased the need for effective fraud detection and risk monitoring. This study evaluates fraud detection performance using imbalanced credit card transaction data. It compares Logistic Regression, Random Forest, and XGBoost, with XGBoost combined with SMOTE as...