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Related Questions
- Can a poorly calibrated model exacerbate existing biases in a dataset?
- How does calibration impact the explainability of a machine learning model?
- Can calibration be used to improve the fairness of a model in situations where bias is not intentional?
- How does model calibration relate to concept drift and its impact on model fairness?
- Can a model be well-calibrated but still discriminatory?
- Are there any techniques for fairness-aware calibration, and what are their trade-offs?
- Can a machine learning model be considered truly fair if it is well-calibrated but based on a biased dataset?
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