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Related Questions
- What are the key differences between demographic parity and equalized odds metrics in the context of fairness evaluation?
- How do demographic parity and equalized odds metrics address disparate impact in fairness evaluation?
- Can you explain the concept of demographic parity and its relevance to fairness evaluation in machine learning models?
- What are the implications of using demographic parity and equalized odds metrics in evaluating fairness in machine learning models?
- How do demographic parity and equalized odds metrics handle multiple protected attributes in fairness evaluation?
- What are some common challenges in implementing demographic parity and equalized odds metrics in real-world scenarios?
- Can you provide examples of how demographic parity and equalized odds metrics are used in real-world applications to ensure fairness in decision-making processes?
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