What is Misclassification rate?

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