Practice - Threshold Adjustment (Optimized for Fairness)
Practice Questions
Test your understanding with targeted questions
Define threshold adjustment.
💡 Hint: Think about why different groups might need different criteria.
What is equal opportunity in the context of machine learning?
💡 Hint: Consider what 'equal' means in terms of outcomes.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of threshold adjustment?
💡 Hint: Consider the ethical implications of not addressing fairness.
True or False: Threshold adjustment allows the same threshold to be used for all demographic groups.
💡 Hint: Think about varying needs in society.
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Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
Supplementary resources to enhance your learning experience.