Evaluation & Quality
Classification threshold
The score at which an AI changes its decision, such as choosing to flag a message.
Example
A fraud system flags transactions when their risk score exceeds a chosen value.
Why people use it
It lets teams choose when a score should lead to action.
What you'll hear
“At what score should we flag the transaction?”
What this means for you
Choose the cutoff using the workflow's tradeoff between missed cases and false alarms.
Can you control it?
Developer-only
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Is the default decision cutoff always appropriate?
- No. Different error costs can justify different decision cutoffs.
- What happens when we lower the cutoff?
- More cases will usually be flagged, including both useful detections and additional false alarms.
- Can the cutoff differ between tasks?
- Yes. Missing a serious problem may matter more in one task than raising an unnecessary alarm.