Classification Error Measure
(Redirected from classification error)
A Classification Error Measure is a predictive error measure for a classification task (based on classification error events).
- AKA: Misclassification Rate.
- It can (typically) be the inverse of a Classification Accuracy Measure.
- It can be estimated by an Classification Error Estimation Process.
- an Accuracy Measure.
- an F1 Measure.
- See: Classification Performance, Incorrect Decision.