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Related Questions
- Can statistical parity be achieved in machine learning models without compromising their accuracy?
- How does statistical parity affect the fairness and transparency of machine learning models in real-world applications?
- What are some common techniques used to improve statistical parity in machine learning models?
- Can statistical parity be traded off with other performance metrics, such as model accuracy or interpretability?
- How does the concept of statistical parity relate to other fairness metrics, such as equalized odds and demographic parity?
- Can statistical parity be achieved in complex machine learning models, such as neural networks?
- What are the potential consequences of ignoring statistical parity in machine learning models in real-world applications?
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