Negative Predictive Value


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 negative predictive value is the proportions of negative results in statistics and diagnostic tests that are true negative (correctly rejected) results.

Related formulas


NPVNegative Predictive Value (dimensionless)
TNNumber of True Negatives (correctly rejected) (dimensionless)
FNNumber of False Negatives ( incorrectly rejected) (dimensionless)