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Related Questions
- What are the key differences between statistical parity and demographic parity in fairness metrics?
- Can statistical parity be used to detect biases in classification models? If so, how does it work?
- How does statistical parity differ from calibration in fairness metrics, and when should it be used?
- What are some common pitfalls or limitations of using statistical parity to detect biases in machine learning models?
- Can statistical parity be applied to regression models? If so, how should the metric be defined and interpreted?
- What role can statistical parity play in preventing model drift or bias creep over time?
- How can statistical parity be used in combination with other fairness metrics to detect and mitigate biases in machine learning models?
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