Credit Card Fraud Detection System Using Support Vector Classifier

This study describes a Support Vector Classifier-based method for detecting credit card fraud. By offering a solution, the authors want to address the growing issue of credit card fraud in online purchases. The suggested system analyses and pre-processes transaction data using the Support Vector Classifier algorithm, which effectively identifies fraudulent activity. The paper’s main objective is to show how the Support Vector Classifier algorithm can successfully detect fraudulent transactions while minimizing false positives. The findings demonstrate that the suggested approach outperforms conventional fraud detection techniques, offering a possible answer to the problems associated with credit card fraud detection.