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What is Predicting Mobile Money Transaction Fraud Using Ma about?

This paper explores the use of machine learning algorithms to predict mobile money transaction fraud, highlighting the increasing risks associated with mobile money services. The study finds that while logistic regression serves as a baseline model, the random forest classifier outperforms it in detecting fraudulent transactions, with the amount of money transferred being a key predictive feature. The findings suggest further research is needed to enhance fraud detection methods and the potential applicatio

Author

kmmutshi

Language

EN