The website is in Maintenance mode. We are in the process of adding more features.
Any new bookmarks, comments, or user profiles made during this time will not be saved.

Machine Learning Resources

What is Specificity?

Bookmark this question

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

Leave your Comments and Suggestions below:

Please Login or Sign Up to leave a comment

Partner Ad  

Find out all the ways
that you can

Explore Questions by Topics

Partner Ad

Learn Data Science with Travis - your AI-powered tutor |