Enhancing Fraudulent Transaction Detection Through SMOTE-Based Data Balancing and Machine Learning
Financial fraud has emerged as one of the most pressing challenges in the digital economy, causing billions of dollars in losses annually across global banking and e-commerce sectors. The highly imbalanced nature of fraud datasets, where legitimate transactions vastly outnumber fraudulent ones, poses significant obstac...