Sensitivity and Specificity

All statistics tools

Evaluate the performance of a diagnostic test or binary classifier.

Confusion Matrix Data

Condition Positive

True Positives (TP)

False Negatives (FN)

Condition Negative

False Positives (FP)

True Negatives (TN)

Diagnostic Performance

Sensitivity (TPR)80.00%Ability to detect positives

Specificity (TNR)90.00%Ability to detect negatives

Overall Accuracy

85.00%

Precision (PPV)88.89%

NPV81.82%

Matrix Summary

Total Cases:200

Prevalence:50.0%

About this calculator

Overview

Sensitivity and specificity are statistical measures of the performance of a binary classification test. Sensitivity measures the proportion of actual positives that are correctly identified, while specificity measures the proportion of actual negatives that are correctly identified.

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Pro Tips

Use high sensitivity tests for initial screening to ensure you don't miss any sick individuals.
Use high specificity tests for confirmation to ensure you don't treat healthy individuals unnecessarily.
PPV and NPV are highly dependent on the prevalence of the condition in the population being tested.

Core Formulas

Sensitivity

TP / (TP + FN)

Specificity

TN / (TN + FP)