Combined Model Design
CE Architecture
Understand how CE's data-derived combined models are structured, trained, and evaluated — including the role of component weights, fusion strategies, and provenance maintenance when multiple source models disagree.
Learning Objectives
- Explain why CE uses combined models rather than a single authoritative source model.
- Describe the four stages of a CE combined model lifecycle.
- Identify the criteria CE uses to assign and revise component weights.
- Interpret a combined model's provenance record and confidence decomposition.
- Diagnose calibration failures and recommend correction strategies.