Machine Learning Risk Score Calculation Pipeline

Develop a PostgreSQL-based machine learning pipeline that generates dynamic credit risk scoring for financial institutions. Design a solution that integrates multiple data sources, uses advanced statistical techniques like logistic regression and decision trees, and produces a comprehensive risk assessment model. The system must handle feature engineering, model training, and real-time scoring with comprehensive logging and model performance tracking.