# Sensitivity ( true positive rate)

## Description

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. Sensitivity is a statistical classification function that measures the proportion of actual positives which are correctly identified and is complementary to the false negative rate.

Related formulas## Variables

TPR | True Positive Rate (dimensionless) |

TP | Number of True Positives (correctly identified) (dimensionless) |

FN | Number of False Negatives ( incorrectly rejected) (dimensionless) |