The false positive rate (FPR) is a measure used in diagnostic testing that indicates the likelihood of incorrectly identifying a non-diseased individual as diseased. In statistical terms, it is calculated as 1 minus the specificity of the test. Specificity measures the proportion of true negatives correctly identified, meaning those without the disease. Therefore, an FPR of 10% implies that 10% of healthy individuals are incorrectly diagnosed as having the disease.
