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Data Drift Detection in Production ML: Population Stability Index (PSI) & Monitoring | developerOS Insights

Data EngineeringJuly 15, 20268 min read

Data Drift Detection in Production ML: Population Stability Index (PSI) & Monitoring

Catching covariate shift and concept drift before model accuracy degrades using PSI metrics and Evidently AI dashboards.

Calculating Population Stability Index (PSI)

PSI measures how much a feature distribution in production serving data has shifted relative to baseline training data:

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# PSI Formula Concept
PSI = sum( (Actual_i - Expected_i) * ln(Actual_i / Expected_i) )

A PSI > 0.2 indicates significant distribution drift, triggering automated retraining pipelines.

References & Further Reading:

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