What are the key evaluation metrics for assessing the performance of deep learning models in anomaly detection? Discuss metrics like precision, recall, F1-score, ROC-AUC, and detection rate, and how to balance them in an anomaly detection system.
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Prompt length: about 37 words · Category: AI-Based Vulnerability Management
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