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Machine Learning for Credit Card Fraud Detection by anonymousmsi95 is a document available to read on EtoBox.

What is Machine Learning for Credit Card Fraud Detection about?

This project report presents a machine learning-based system for detecting credit card fraud, addressing challenges posed by imbalanced datasets and evolving fraud patterns. The study evaluates models such as Logistic Regression, Random Forest, and XGBoost, with XGBoost achieving the highest accuracy of 99.95%. The report concludes with recommendations for future enhancements, including API deployment and the use of deep learning models.

Author

anonymousmsi95

Language

EN