What is Misclassification rate?

Categories: Classification Evaluations
Updated: March 26, 2023

Misclassification Rate measures the overall proportion of observations that were wrongly classified or mis-classified.

Misclassification Rate = 1 – Accuracy

where Accuracy = (True Positives + True Negatives) / Total Observations

Using an example:

Confusion Matrix


Accuracy is = (100 + 150) /360 = .694

Misclassification Rate = 1 – 0.694 = 0.306

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