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Related Questions
- What are the key differences between absolute and relative group fairness in model evaluation?
- Can you explain the concept of disparate impact and how it relates to group fairness?
- How do demographic parity and equal opportunity metrics contribute to evaluating group fairness in machine learning models?
- What is the relationship between fairness, accuracy, and model complexity in machine learning?
- Can you describe the concept of calibration and its importance in evaluating model fairness?
- How do statistical parity and equalized odds metrics differ in their approach to evaluating group fairness?
- What are some common challenges in evaluating group fairness in models with complex and nuanced fairness metrics?
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