The user wants to understand Classification Threshold in the context of Model Evaluation & Monitoring and apply it to practical AI governance or compliance work.
A classification threshold is a chosen cutoff value used to convert a model's score or probability into a class prediction. Changing the threshold can alter the balance between false positives and false negatives, making threshold selection an important governance and performance decision.
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