Machine Learning Approaches for Credit Card Fraud Detection
Sarang Sanjay Ranisavargaonkar,
Vaishnavi Tanaji Jadhav,
Kishore Markad
Abstract:Credit card fraud detection is a critical challenge in the financial sector, necessitating the adoption of advanced machine learning algorithms for timely and accurate identification of fraudulent transactions. In this project, we investigate the efficacy of four prominent machine learning algorithms - Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Decision Trees (DT), and Random Forest (RF) in detecting credit card fraud. Through a comprehensive analysis, we evaluate the performance of these algori… Show more
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