A data scientist uses PROC ASSESS in SAS to evaluate a deployed logistic regression model. Which capability does PROC ASSESS provide that directly addresses model drift detection?
Select an answer to reveal the explanation.
Short Explanation
You're right to pick the option about KS statistics, lift charts, and ROC curves because PROC ASSESS lets you score new data and compare performance to a baseline. That performance degradation over time is how you spot drift. It doesn't retrain, deploy, or rank features.
Full Explanation
The correct choice is the option saying PROC ASSESS computes Kolmogorov-Smirnov statistics, Lift charts, and ROC curves to compare model performance across time periods. PROC ASSESS produces model performance reports that can be computed on new data and compared to baseline performance, enabling drift detection by monitoring performance degradation over time. The automatic retraining option is wrong because PROC ASSESS does not retrain models. The SAS Model Manager deployment option is wrong because PROC ASSESS is a post-deployment evaluation tool, not a deployment mechanism. The feature importance ranking option is wrong because PROC ASSESS focuses on outcome-based performance metrics, not feature importance.