Practice Additive Feature Attribution - 3.3.2.1.3 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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3.3.2.1.3 - Additive Feature Attribution

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is SHAP and what does it stand for?

πŸ’‘ Hint: Think about the role of Shapley in cooperative game theory.

Question 2

Easy

How does SHAP assign contributions to features?

πŸ’‘ Hint: Consider the analogy of team players contributing to a win.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does SHAP stand for?

  • SHapley Additive Explanation
  • SHapley Additive exPlanations
  • SHapley AI Predictive

πŸ’‘ Hint: Remember the cooperative game theory concept!

Question 2

Are SHAP values additive?

  • True
  • False

πŸ’‘ Hint: Think of how team contributions add up to the final score in a game.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Analyze how SHAP can identify bias in a medical diagnosis model trained on historical data. Describe the process step-by-step.

πŸ’‘ Hint: Consider how historical data can introduce bias.

Question 2

Design a strategy using SHAP to ensure an AI hiring tool is fair and unbiased. Include steps for implementation and monitoring.

πŸ’‘ Hint: Think about how feature assessment can prompt ethical adjustments.

Challenge and get performance evaluation