MathLiveSpecificity
Specificity is the proportion of truly negative cases that a binary classification test correctly identifies as negative. It is used to judge how well a test avoids false alarms.
\mathrm{TNR} = \frac{\mathrm{TN}}{N} = \frac{\mathrm{TN}}{\mathrm{TN}+\mathrm{FP}}What the symbols mean
| true negative rate (specificity), a dimensionless proportion between 0 and 1 | |
| number of true negatives, cases that are negative and correctly labelled negative | |
| number of false positives, cases that are negative but wrongly labelled positive | |
| total number of actual negatives, equal to TN plus FP |
About this formula
- FieldStatistics
- TopicClassification metrics
- LevelUniversity
- Also calledtrue negative rate, selectivity, true negative fraction
- SourceWikidata Q3494375
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