Practice Subgroup Performance Analysis (1.2.3) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Subgroup Performance Analysis

Practice - Subgroup Performance Analysis

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is subgroup performance analysis?

💡 Hint: Focus on demographic groups in your response.

Question 2 Easy

Define bias in the context of AI.

💡 Hint: It relates to fairness in model predictions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Why is it important to analyze performance metrics for subgroups?

To reduce overall accuracy
To ensure fairness
To increase complexity

💡 Hint: Consider which answers relate to equitable outcomes.

Question 2

True or False: Subgroup performance analysis can reveal biases not evident in overall model accuracy.

True
False

💡 Hint: Think about how different groups may be affected.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given an AI model for loan predictions, how would you approach modifying the model if you find it disproportionately denying loans to applicants from specific demographics, despite high overall accuracy?

💡 Hint: Think about the entire model lifecycle - from data collection to deployment.

Challenge 2 Hard

Critically analyze an AI model used for hiring that shows a high accuracy rate but poor performance on female applicants. What steps would you suggest to improve its fairness?

💡 Hint: Consider how different aspects of the model can contribute to these performance disparities.

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