Advanced Machine Learning Customer Churn Prediction System

Create a sophisticated machine learning predictive model for customer churn that integrates multiple data sources, including behavioral analytics, transactional history, customer support interactions, and sentiment analysis. Design a modular architecture that uses ensemble learning techniques, can handle both structured and unstructured data, and provides real-time predictive scoring with explainable AI components. Include requirements for model drift detection and automated retraining protocols.