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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define threshold adjustment.
💡 Hint: Think about why different groups might need different criteria.
Question 2
Easy
What is equal opportunity in the context of machine learning?
💡 Hint: Consider what 'equal' means in terms of outcomes.
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 is the main purpose of threshold adjustment?
- To increase model accuracy
- To ensure fairness across demographic groups
- To simplify model complexity
💡 Hint: Consider the ethical implications of not addressing fairness.
Question 2
True or False: Threshold adjustment allows the same threshold to be used for all demographic groups.
- True
- False
💡 Hint: Think about varying needs in society.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have developed a predictive model for loan approvals. After a review, you find that it systematically denies applicants from minority groups at a higher rate. Propose a detailed plan using threshold adjustment to rectify this bias.
💡 Hint: Think about integrating data analysis with ethical principles.
Question 2
In a healthcare setting, a model predicts patient recovery based on various demographics. Create a strategy for adjusting thresholds to ensure equitable healthcare outcomes.
💡 Hint: Consider the health disparities when thinking about threshold settings.
Challenge and get performance evaluation