A bank's AI credit scoring model was trained primarily on data from economically stable periods. Risk managers are concerned about performance during an economic downturn. Which assessment technique is MOST appropriate to evaluate this risk?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because stress testing evaluates model performance under extreme or adverse conditions not well-represented in training data — directly addressing the economic downturn concern. A is wrong because cross-validation uses the same data distribution as training.
Full explanation below image
Full Explanation
B is correct because stress testing evaluates model performance under extreme or adverse conditions not well-represented in training data — directly addressing the economic downturn concern. A is wrong because cross-validation uses the same data distribution as training. C is wrong because SHAP analysis explains feature contributions but does not test performance under adverse conditions. D is wrong because A/B testing in production would expose real customers to potentially degraded model outputs.