---
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`

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## Related Skills
* `44-ai-governance/model-explainability` (Main skill)
* `44-ai-governance/human-approval-flows`
* `44-ai-governance/model-risk-management`