Advanced Institutional Risk Assessment Predictive Framework

Design a comprehensive institutional risk assessment model integrating financial, demographic, and academic performance data. Implement ensemble machine learning techniques combining random forests, gradient boosting, and neural network approaches to generate probabilistic risk scores. Create a flexible scoring mechanism that can predict potential financial, enrollment, and academic sustainability challenges with high interpretability.