specificity

Proportion of actual negatives that are correctly identified as such by a binary classification test

EntityQ3494375

Also known as true negative rate

Subclass of: statistic
Part of: sensitivity and specificity

Overview

From Wikipedia, the free encyclopedia · Read full article · Text CC BY-SA 4.0

In medicine and statistics, sensitivity and specificity mathematically describe the accuracy of a test that reports the presence or absence of a medical condition. If individuals who have the condition are considered "positive" and those who do not are considered "negative", then sensitivity is a measure of how well a test can identify true positives and specificity is a measure of how well a test can identify true negatives:Sensitivity is the probability of a positive test result, conditioned on the individual truly being positive. Specificity is the probability of a negative test result, conditioned on the individual truly being negative.

Overview

All data

9 statements · 0% with external sources · numbers in brackets are citations

Facet of: binary classification
Defining formula: \mathit{TNR} = \mathit{TN} / N = \mathit{TN} / (\mathit{TN}+\mathit{FP})
In defining formula: TN symbol represents: true negative
N symbol represents: Negative result

On other databases

4 identifiers linking specificity across the web's reference databases

Data quality

statements

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Source last edited December 2, 2025. AIDB refreshes this page daily.

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AIDB. (2026). specificity (Q3494375). Retrieved from https://aidb.si/e/specificity-Q3494375