Predictive Audience Engagement Model for Streaming Platforms

Design a comprehensive Python-based predictive analytics pipeline using pandas and scikit-learn that forecasts viewer engagement metrics for a streaming platform. The model should incorporate multi-dimensional features including watch time, genre preferences, time of day, user demographics, and content recommendation interactions. Develop a machine learning model that can predict user churn with at least 85% accuracy, and create a Flask API endpoint to serve real-time predictions. Include feature importance visualization and a detailed performance metrics dashboard using Plotly.