What is a predictive parity?
A fairness metric that checks whether, for a given classification model, the precision rates are equivalent for subgroups under consideration.
predictive parity explained in plain English
A fairness metric that checks whether, for a given classification model, the precision rates are equivalent for subgroups under consideration. For example, a model that predicts college acceptance would satisfy predictive parity for nationality if its precision rate is the same for Lilliputians and Brobdingnagians. Predictive parity is sometime also called predictive rate parity. See"Fairness Definitions Explained"(section 3.2.1) for a more detailed discussion of predictive parity.
Example
Practitioners refer to predictive parity when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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