II.
SkillArea overview
Reference · liveskill-area:model-explainability-testing
Model Explainability Testing overview
Validating interpretability techniques and explanation quality - feature attribution stability, explanation usefulness, and auditability needs.
Attributes
displayName
Model Explainability Testing
description
Validating interpretability techniques and explanation quality - feature
attribution stability, explanation usefulness, and auditability needs.
domains
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- domain:data-science·DomainData Science
- domain:ml-ops·DomainMLOps
requires_skill_area1
- skill-area:model-validation-testing·SkillAreaModel Validation Testing
Incoming edges
lib_requires_skill_area2
- lib-skill:data-science-ml--lime-explainer·LibrarySkilllime-explainer
- lib-skill:data-science-ml--shap-explainer·LibrarySkillshap-explainer
prerequisite_for_learning1
- skill-area:machine-learning·SkillAreaMachine Learning
requires_skill_area1
- skill-area:explainability-interpretation·SkillAreaExplainability and Interpretation