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Validate Model Before Deployment

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Problem

Scenario

You've trained a machine learning model and offline results look promising. Before putting it into production, your team wants a clear validation process that checks whether the model is reliable and fit for real use.

Question

How do you validate a machine learning model before deployment?

What This Tests

  • Cross-validation for generalization checks
  • Precision and recall tradeoffs at the operating threshold
  • Confusion matrix interpretation for business impact
  • Calibration of predicted probabilities before deployment