Predictive User Engagement Anomaly Detection System

Develop a sophisticated anomaly detection system for streaming platforms that can identify unusual user behavior patterns in real-time. Implement a multi-layered machine learning approach combining statistical methods, time-series analysis, and deep learning to detect potential fraud, account sharing, or engagement manipulation. Design a granular scoring system that provides actionable insights without generating excessive false positives.