Practice Fair Attribution Principle (3.3.2.1.1) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Fair Attribution Principle

Practice - Fair Attribution Principle

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the Fair Attribution Principle aim to achieve?

💡 Hint: Consider the concept of fairness in attributing responsibility.

Question 2 Easy

Define Additive Property in the context of SHAP.

💡 Hint: Think about how different feature impacts should combine.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the Fair Attribution Principle primarily concerned with?

Determining model accuracy
Assigning feature contributions fairly
Improving computational efficiency

💡 Hint: Think about fairness and contributions.

Question 2

True or False: SHAP provides only global explanations of model behavior.

True
False

💡 Hint: Consider how interpretations can vary.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Analyze a scenario where a model predicts criminal recidivism using features that include socio-economic status and previous offenses. Discuss the implications of fair attribution in this case.

💡 Hint: Reflect on historical biases in the data.

Challenge 2 Hard

Consider a healthcare model predicting patient outcomes using various health indicators. How would you apply the Fair Attribution Principle to assess feature contributions?

💡 Hint: Think about the importance of transparency in health contexts.

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