1 publication

• Published Subscription Original Research 27 Dec 2025

  A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection

  By Ravinder Singh

  Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …

  Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article →