Evaluation Metrics for Real-Time Financial Fraud Detection ML Models

After training a real-time financial fraud detection model, the next step is to evaluate its performance. This post provides an overview of the most common evaluation metrics and considerations for fraud detection models, including confusion matrix, precision, recall, F1-score, AUC-ROC, AUC-PR, and more.