Intelligent Student Performance Prediction Model

Create a comprehensive predictive analytics framework that forecasts student academic performance using multi-dimensional data points. Develop a robust machine learning model that integrates historical academic records, engagement metrics, socio-economic factors, and learning behavior patterns. The model should generate probabilistic risk assessments for potential academic underperformance and provide actionable intervention strategies for educators.