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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does LIME stand for?
π‘ Hint: Think about the focus of interpretability.
Question 2
Easy
Why is it important for AI models to be interpretable?
π‘ Hint: Consider the stakeholders involved.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main purpose of LIME?
π‘ Hint: Think about its full name.
Question 2
SHAP is based on which theory?
π‘ Hint: Consider what concept underpins fair attribution.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Demonstrate how you would conduct a local interpretability analysis using LIME for a specific prediction in a healthcare model.
π‘ Hint: Remember to consider a few features related to patient history.
Question 2
Imagine you are presenting a model to stakeholders who are concerned with fairness in predictions. How can you employ SHAP to address their concerns?
π‘ Hint: Think about what questions stakeholders might have about fairness.
Challenge and get performance evaluation