Computer Science
4 years ago

Logistic Regression Dominates in Detecting Credit Card Fraud with 94.6% Accuracy

2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)
Comparing Naïve Bayes, Decision Tree and Logistic Regression Methods in Fraudulent Credit Card Transactions
Maha A. Alanezi, Mawra T. Homeed, Zahra Mohamed, Ahmed M. Zeki

Paper Summary

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The article compares different methods to detect fraudulent credit card transactions. They used data mining techniques to analyze bank data and found that Logistic Regression had the highest accuracy at 94.6%, outperforming Decision Tree and Naïve Bayes. This means Logistic Regression is the most effective in identifying potential fraud in credit card transactions.