A MLOps engineer configures model monitoring in SAS Model Manager to detect data drift. Which statistical measure is commonly used to compare the distribution of an input variable between training data and current production data?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because the Population Stability Index (PSI) quantifies the shift in distribution of a variable between two populations (e.g., training vs. production) by comparing frequency distributions across bins, with PSI > 0.25 typically indicating significant drift.
Full explanation below image
Full Explanation
B is correct because the Population Stability Index (PSI) quantifies the shift in distribution of a variable between two populations (e.g., training vs. production) by comparing frequency distributions across bins, with PSI > 0.25 typically indicating significant drift. A (Pearson correlation) measures linear association between two variables, not distribution shift. C (MAE) measures prediction error, not input distribution shift. D (VIF) measures multicollinearity among predictors.