Machine Learning Resources

What is Specificity?

The specificity is the analog of recall for the negative class. It measures the proportion of the observations that belong to the negative class that were correctly predicted to be negative labels. In general, Specificity is calculated by

Specificity = True Negatives / (True Negatives + False Positives)

Using an example:

Confusion Matrix

Specificity = 100 / (100 + 60) = .625

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