How to Measure ML Model Drift

Machine learning models rely on the critical assumption that input data distribution does not drift too much over time. Yet once in production, model drift is inevitable.

Learn why model drift matters, how to make sense of it, and how to measure data drift, including:

  • Types of drift distributions
  • Differences between measurement metrics
  • When to choose one metric over another
Two-page healthcare AI checklist showing Part 1: Foundational Setup & Risk Assessment with steps for AI governance, principles, inventory, and risk tiers, and Part 2: Pre-Deployment Evaluation & Go-Live Checks with validation for predictive models; includes an astronaut illustration interacting with futuristic AI health data dashboards.
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