Specificity ( true negative rate)

Description

For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test with trusted external judgments. The terms positive and negative refer to the classifier’s prediction (sometimes known as the expectation), and the terms true and false refer to whether that prediction corresponds to the external judgment. Specificity (sometimes called the true negative rate) measures the proportion of negatives which are correctly identified and is complementary to the false positive rate.