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...
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
1 / 8
When the threshold is increased, how do the following metrics behave?
Match The Answer
Select an option from the left-hand side
Accuracy
Increases or remains constant
Precision
Decreases or remains constant
Recall
It can change in both directions or remains constant
Equality of opportunity rate
...