confidence-scoring
See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
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-flows -
44-ai-governance/model-risk-management
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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