We will use Logistic Regression to train the model and evaluate it based on the test data. Credit card fraud detection is a significant challenge in the financial industry. This project leverages ...

This project aims to detect fraudulent credit card transactions using Logistic Regression. We apply machine learning techniques on a publicly available dataset and evaluate model performance using ...

Abstract: Credit Card Fraud Detection (CCFD) is a crucial security issue ... and aids in finding potential fraudulent transactions. Different models, such as logistic regression (LR), variants of ...

Mastercard's AI-powered fraud detection system uses risk-scoring and behavioral biometrics to help identify suspicious transactions.

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

As credit card identity theft becomes the most reported type of fraud in the United States, New York residents are among the most affected. With thousands of new accounts opened fraudulently ...

Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

After laying out the simulation methodology, I show how outputs can be used to test and evaluate machine learning workflows, modeling approaches, and interpretability frameworks that are relevant for ...

Although your financial liability might be limited, dealing with fraud is a huge hassle, so try to prevent it. Many or all of the products on this page are from partners who compensate us when you ...