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Related Questions
- What are the implications of using statistical parity versus demographic parity in fairness metrics for machine learning models?
- Can you provide an example of a scenario where statistical parity is more suitable than demographic parity and vice versa?
- How do statistical parity and demographic parity differ in terms of their emphasis on subgroup fairness?
- In what ways can statistical parity and demographic parity be used to evaluate the fairness of machine learning models in different domains?
- What are some potential drawbacks or limitations of using statistical parity versus demographic parity in fairness metrics?
- Can you explain how statistical parity and demographic parity relate to other fairness metrics, such as equalized odds?
- How can researchers and practitioners choose between statistical parity and demographic parity when evaluating the fairness of machine learning models?
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