A governance-aware architecture blueprint for operationalizing thresholds as enterprise decision policies with policy engines, monitoring, overrides, fairness review, and rollback.
Part 1 showed how to evaluate binary classification thresholds in Python.
This part asks the harder enterprise question:
What happens when that threshold becomes a production decision policy?
A model score is not the business outcome.
A threshold is not just a technical parameter.
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