Selective Classification

Route Uncertain Classifier Predictions with Selective Classification

Route Uncertain Classifier Predictions with Selective Classification A classifier does not have to answer every request. In systems where a bad prediction is costly, forcing a label on every input can be a poor product decision even when the model has strong average accuracy. Selective classification adds a reject option. The system returns a model prediction only when an acceptance rule considers the case suitable; otherwise it abstains and sends the case to a fallback such as human review, a second model, or a request for more information.