[KongchangAI]
Unverified50% confidenceDecision RuleExact time

For a binary classification feature, one should choose a threshold on a labeled holdout set reflecting the production distribution's skew, based on acceptable false-positive and false-negative costs, report F1 at that threshold, and keep AUC on the scored samples for comparing models before locking in the cutoff.

1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen

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