Fairness Metrics

Fairness metrics are quantitative measures used to evaluate the fairness of machine learning models. These metrics are used to assess whether a model is biased towards certain groups of people based on their race, gender, age, or other protected characteristics. Fairness metrics can be used to identify and mitigate bias in machine learning models, and to ensure that these models are fair and equitable for all users. Some common fairness metrics include disparate impact, equal opportunity, and demographic parity.
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