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Related Questions
- What are some common metrics used to evaluate fairness in machine learning models?
- How can I identify and mitigate bias in model outputs related to sensitive attributes?
- What are some techniques for evaluating fairness in models that involve multiple sensitive attributes?
- Can you explain the concept of disparate impact and how it relates to fairness in model outputs?
- How can I use techniques like demographic parity and equalized odds to evaluate fairness in models?
- What are some challenges associated with evaluating fairness in models that involve high-dimensional data?
- Can you discuss the importance of using representative and diverse datasets when evaluating fairness in models?
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