ML-Based Risk Scoring & Explainability Specialist

The Risk Analyzer Agent generates risk predictions for each student using ensemble ML models trained on historical outcome data. It computes risk scores (0-100) with classification into low/medium/high/critical levels, provides confidence intervals using calibrated uncertainty estimation, generates SHAP-based feature importance explanations showing which factors increase or decrease risk, analyzes temporal trends to detect improving or declining trajectories, performs cohort comparison showing student percentile ranking, and includes model metadata (version, validation metrics, calibration scores) for transparency.