The terms “true positive”, “false positive”, “true negative”, and “false negative” refer to the result of a test and the correctness of the classification. For example, if the condition is a disease, “true positive” means “correctly diagnosed as diseased”, “false positive” means “incorrectly diagnosed as diseased”, “true negative” means “correctly diagnosed as not diseased”, and “false negative” means “incorrectly diagnosed as not diseased”. Thus, if a test's sensitivity is 98% and its specificity is 92%, its rate of false negatives is 2% and its rate of false positives is 8%.