Machine Learning, Data Science, Artificial Intelligence.
Specificity measures the proportion of correctly predicted negative instances out of all actual negative instances. It focuses on the model’s ability to identify negative instances. Specificity is calculated as the ratio of true negatives (correctly predicted negatives) to the sum of true negatives