Check your understanding
Quiz
You have learned to separate global from local explanations, measure feature importance with permutation and drop-column methods, split a prediction into fair SHAP contributions, read partial-dependence and ICE curves, check a model for group fairness, and document it in a model card. This quiz checks what stuck. The last two steps are live R you can run.
Question 1 of 6
Global versus local
The difference between a global and a local explanation is that:
Correct: global says what the model learned in general, local says why this row got its score.
Global methods apply to any model.