Predictive Parity
Explore predictive parity as a fairness metric in AI, which measures equal precision among different demographic groups. Understand how to calculate predictive parity ratios, interpret their impact on model fairness, and apply these concepts using Python tools like Fairlearn. This lesson enables you to assess whether your AI models fairly predict outcomes across sensitive attributes without disproportionate optimism for any group.
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Predictive parity definition
The second fairness-specific metric is called predictive parity. In contrast to demographic parity, it also needs actual labels. An alternative name is predictive rate parity or outcome test.
The shape of the definition is similar to demographic parity. We compute a metric for all groups separately and compare if the values are similar.
Its format definition is the following:
Where:
represents features represents model ...