name: Confidence Scoring description: See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.
Confidence Scoring
This skill is covered in detail in the main Model Explainability skill.
Please refer to: 44-ai-governance/model-explainability/SKILL.md
That skill covers:
- SHAP and LIME for feature importance
- Confidence scoring and interpretation
- Calibration techniques
- Explainability for different model types
- LLM-specific explainability
- Presenting explanations to users
- Tools (SHAP, LIME, InterpretML, Captum)
- Real-world explainability examples
For confidence-specific topics, also see:
- Confidence thresholds in
44-ai-governance/human-approval-flows - Model risk management in
44-ai-governance/model-risk-management
Related Skills
44-ai-governance/model-explainability(Main skill)44-ai-governance/human-approval-flows44-ai-governance/model-risk-management