Confidence, classification, and tie-breaks
AI agents
Confidence, classification, and tie-breaks
- Routing Conflicts by Cost: Which Precedence Calls Need a Human
- A Drift Detector for Classifier Inputs: Three Cheap Metrics
- Calibrating a Small Classifier: From Raw Scores to a Cut Point
- Calibrating a Support Agent's Confidence Score
- Confidence Scores the Router Can Trust: Calibration
- Labeling by Exception: Router Overrides as a Training Set
- Measuring a Classifier's Misfire Rate and Its Cost
- Routing by Answer Confidence: Where the Cut Point Lives
- When a Second Source Disagrees: A Tie-Break and Escalation Tree
- When the Classifier and the Router Disagree: A Tie-Break Table