A Cost-Sensitive Machine Learning Framework for Optimizing Financial Loss Mitigation in Credit Card Fraud Detection
Credit card fraud is the most common type of cybercrime due to the shift in digital economy which caused billions of dollars in losses annually, the deployment of standard machine learning algorithm is disturbed by a heavily imbalanced dataset. in this study, an analysis between four machine learning algorithms is cond...