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Credit Card Fraud Detection with ML by keh Celestial Moon is a document available to read on EtoBox.

What is Credit Card Fraud Detection with ML about?

The study presents a machine learning approach for detecting credit card fraud, utilizing classifiers such as Random Forest, Decision Tree, Naïve Bayes, and Support Vector Machine. The Random Forest classifier achieved an impressive accuracy of 99.96%, highlighting its effectiveness in identifying both fraudulent and legitimate transactions. The research emphasizes the importance of adapting detection models to evolving fraud patterns to mitigate financial losses for both consumers and financial institution

Author

keh Celestial Moon

Language

EN