Machine Learning Credit Risk Predictive Model

Create a sophisticated machine learning pipeline for credit risk prediction that integrates historical financial data, real-time economic indicators, and alternative credit signals. Design a modular architecture supporting multiple predictive algorithms (random forest, gradient boosting, neural networks) with automated hyperparameter tuning. Implement comprehensive model interpretability features and generate actionable risk scores with confidence intervals.