Positive Predictive Value (precision)


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. The Positive Predictive Value is the proportion of positive results in statistics and diagnostic tests that are correctly identified results.

Related formulas


PPVPositive Predictive Value ( precision) (dimensionless)
TPNumber of True Positives (correctly identified) (dimensionless)
FPNumber of False Positive (incorrectly identified) (dimensionless)