Classification Error Measure

A Classification Error Measure is a predictive error measure for a classification task (based on classification error events).

• AKA: Misclassification Rate.
• Context:
  • It can (typically) be the inverse of a Classification Accuracy Measure.
  • It can be estimated by an Classification Error Estimation Process.
  • …
• Example(s):
  • an Accuracy Measure.
  • an F1 Measure.
  • …
• Counter-Example(s):
  • an Approximation Error Measure.
  • a Classification Time Measure.
• See: Classification Performance, Incorrect Decision.

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