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What is Classification Threshold?
A classification threshold converts a predicted probability into a hard class label—e.g., predict positive if p ≥ 0.5. Tuning the threshold trades precision against recall for the business cost of errors.
Related Giskard articles
Tune thresholds with Giskard — validate operating points under real cost and fairness constraints. See Giskard OSS.
Authority: Google ML glossary — Classification threshold.
