A model governance team wants to ensure a model does not produce significantly different false positive rates across demographic groups before deployment. Where in SAS Model Manager governance is this addressed?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because fairness assessment requires evaluating metrics stratified by demographic groups. The validation step in SAS Model Manager can produce reporting outputs with group-level performance statistics.
Full explanation below image
Full Explanation
B is correct because fairness assessment requires evaluating metrics stratified by demographic groups. The validation step in SAS Model Manager can produce reporting outputs with group-level performance statistics. A (model comparison) compares overall KPIs across versions, not group-stratified metrics. C (champion/challenger) evaluates aggregate metrics. D (registration) records information but does not perform analysis.