AI & MLRecommendedAIML-INT-002
Feature Attribution: Permutation Importance and SHAP
Model-agnostic explanations: how much predictions depend on each feature, globally and for one example.
- Difficulty
- 3 / 5
- Importance
- 4 / 5
- Study time
- 1–2 h
- Kind of work
- Mixed
Why it matters
The learner can compute permutation importance for a model and read a SHAP explanation for one prediction, noting the effect of correlated features.