And, 86% of the unrelated documents will be rejected, these are the true negatives.

True negatives describe those who were correctly rejected based on the measure because the would not be successful employees.

Mammograms will be normal (true negatives and false negatives) in 9,500 women.

That is, the accuracy is the proportion of true results (both true positives and true negatives) in the population.

Thus, the number of true positives, false negatives, true negatives, and false positives add up to 100% of the set.

ERR gives the recognition performance at the point where the rate of true positives equals the rate of true negatives; the ROC integral judges the performance in a more global manner.

In predictive analytics, a table of confusion (sometimes also called a confusion matrix), is a table with two rows and two columns that reports the number of false positives, false negatives, true positives, and true negatives.

In this equation, TP is the number of true positives, TN the number of true negatives, FP the number of false positives and FN the number of false negatives.

For classification tasks, the terms true positives, true negatives, false positives, and false negatives (see also Type I and type II errors) compare the results of the classifier under test with trusted external judgments.

We also give the correlation coefficient (CC), defined as: where TP stands for true positives, TN for true negatives, FP for false positives, and FN for false negatives; these numbers denote the absolute numbers of correctly and incorrectly classified sequences.