A model registry in SAS Model Manager contains version 1 (champion) and version 2 (challenger) of a credit risk model. Version 2 shows a Gini coefficient of 0.71 vs. 0.64 for version 1 in the challenger test. What action should the data scientist recommend?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because version 2 demonstrates superior discriminatory performance (Gini 0.71 vs 0.64), and the appropriate next step is to complete the formal validation, model documentation, and approval workflow before promoting it to champion in SAS Model Manager. A ignores the clear performance improvement.
Full explanation below image
Full Explanation
B is correct because version 2 demonstrates superior discriminatory performance (Gini 0.71 vs 0.64), and the appropriate next step is to complete the formal validation, model documentation, and approval workflow before promoting it to champion in SAS Model Manager. A ignores the clear performance improvement. C is premature — a 7-point Gini improvement is substantial and warrants promotion rather than abandonment. D is wrong because a permanent 50/50 split is not a champion/challenger strategy; it would indefinitely use an inferior model for half of production decisions.