Problem
Scenario
You've shipped a model and it is now being used in a live product workflow. The team wants a clear way to judge whether the model is actually successful after deployment, not just whether it looked good offline.
Question
How would you measure the success of a model after deployment?
What Success Means
- Model quality in production
- Business KPI impact
- Calibration of predicted scores
- Threshold performance in the live workflow
- Incremental lift versus baseline
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