Comprehensive SaaS Customer Churn Prediction Framework

Create an advanced customer churn prediction system using Node.js and probabilistic machine learning algorithms. Design a modular architecture that integrates user behavioral data, subscription metrics, and interaction logs to calculate real-time churn probability. Implement a multi-stage predictive model using gradient boosting algorithms, with automated feature engineering and dynamic risk scoring. Include a visualization layer that provides actionable insights for customer success teams.