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Evaluate Model Deployment Readiness

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Problem

Scenario

Your team has trained a model and offline results look promising. Before shipping it, you need to decide whether the model is actually good enough for production and what evidence would justify deployment.

Question

How would you evaluate whether a model is suitable for deployment?

What You Should Consider

  • Discrimination metrics such as AUC-ROC
  • Operating-point metrics such as precision and recall
  • Calibration quality
  • Threshold choice relative to business costs
  • Comparison to the current production baseline