Advanced Student Retention Predictive Model

Design a multi-factor machine learning model using Python that predicts student retention with high accuracy by analyzing complex behavioral, academic, and demographic datasets. Implement an ensemble learning approach combining gradient boosting, neural networks, and probabilistic graphical models to generate nuanced retention risk assessments. Create an automated intervention recommendation system that provides personalized support strategies.