Machine Learning Model Performance Tracking

Create a sophisticated SQL-based tracking system for monitoring machine learning model performance across different deployment environments. Design queries that capture model inference times, accuracy metrics, prediction confidence intervals, and comparative performance across different model versions. Implement automated scoring mechanisms and create a comprehensive dashboard showing model drift, performance degradation, and real-time effectiveness metrics.