Adaptive Query Cache with Machine Learning Prediction

Develop an intelligent query caching system for high-traffic database applications using Redis, SQLAlchemy, and predictive machine learning models. Create a dynamic caching layer that can predict query patterns, automatically determine optimal cache expiration, and handle cache invalidation strategies. Implement a machine learning model that adapts caching behavior based on query frequency, complexity, and performance characteristics. Include comprehensive monitoring and performance reporting.