Random Forest achieves 99.9% accuracy, precision, recall and F1-score for fraud detection on a 101k-record telecom CDR dataset after Min-Max scaling and SMOTE.
Quality Assurance In The Age Of Data Analytics: Innovations And Challenges,
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An Efficient Machine Learning-based Framework for Detection and Prevention of Frauds in Telecom Networks
Random Forest achieves 99.9% accuracy, precision, recall and F1-score for fraud detection on a 101k-record telecom CDR dataset after Min-Max scaling and SMOTE.