Reference · Glossary
Threshold
A **cutoff score** that turns a continuous model output into a yes/no (or class) decision.
When to use
Tuning precision vs recall — raise threshold to approve fewer high-risk cases.
When not to
When the model already outputs calibrated class probabilities and you use argmax instead.
Example
`pred = 1 if score >= 0.7 else 0` — stricter than 0.5, fewer false approvals.