Adaptive Query Optimization with Machine Learning Predictions

Create a sophisticated query optimization system that uses machine learning algorithms to dynamically adjust database indexing and query strategies. Implement a Node.js module that analyzes query performance metrics, predicts future access patterns, and automatically generates and drops indexes based on usage. Include a telemetry system that tracks query execution times, cache hit rates, and provides recommendations for schema improvements.