A model monitoring system in SAS detects that input variable 'credit_utilization' has a PSI (Population Stability Index) of 0.31 over the past month. How should the data scientist interpret this?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — c is correct because the standard PSI interpretation thresholds are: PSI < 0.10 = stable, 0.10-0.25 = moderate shift (monitor), PSI > 0.25 = significant shift (investigate/retrain). A PSI of 0.31 exceeds 0.25, indicating the credit_utilization distribution has shifted substantially from the training distribution, which may degrade model performance.
Full Explanation
C is correct because the standard PSI interpretation thresholds are: PSI < 0.10 = stable, 0.10-0.25 = moderate shift (monitor), PSI > 0.25 = significant shift (investigate/retrain). A PSI of 0.31 exceeds 0.25, indicating the credit_utilization distribution has shifted substantially from the training distribution, which may degrade model performance. A and B apply incorrect thresholds. D misinterprets PSI as a proportion of customers.