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AI Features

Quiz: Fairness Metrics

Explore how to compute and interpret key fairness metrics using confusion matrix values such as true positives, false positives, true negatives, and false negatives. This lesson helps you assess AI fairness by understanding metric behavior when thresholds change.

We'll cover the following...
Technical Quiz
1.

(Select all that apply.) Which metric requires access to actual labels? Multi-select

A.

Equal opportunity

B.

Demographic parity

C.

Equalized odds

D.

Predictive parity

E.

Selection rate


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