Practice SHAP (SHapley Additive exPlanations) - 3.3.2 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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3.3.2 - SHAP (SHapley Additive exPlanations)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does SHAP stand for?

πŸ’‘ Hint: Think about Shapley values.

Question 2

Easy

What are local explanations in SHAP?

πŸ’‘ Hint: Consider how individual instances are understood.

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 exPlanations
  • Simple Height Adjustment Process
  • Statistical Heterogeneity Attributed Predictors

πŸ’‘ Hint: Focus on game theory concepts.

Question 2

True or False: SHAP only provides local explanations for predictions.

  • True
  • False

πŸ’‘ Hint: Consider whether SHAP is dual-purpose.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

How would you leverage SHAP in a healthcare application to minimize bias in AI diagnostics?

πŸ’‘ Hint: Consider how understanding contributions can help treat data unevenness.

Question 2

Discuss the implications of SHAP when applied to a financial loan approval process. How would it address concerns about discrimination?

πŸ’‘ Hint: Focus on equity in financial forecasting.

Challenge and get performance evaluation