Especificidade
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
About this calculator
Specificity is a fundamental concept in statistics and data analysis. It is defined as the ratio of true positives (TN) to the total number of true positives and false positives (TN+FP). This means that Specificity is an indicator of a measure or model's ability to avoid false positives.
Specificity is used in a variety of contexts, including the evaluation of medical tests, anomaly detection in data and text classification. In each of these cases, Specificity is crucial to ensure that the measure or model is reliable and accurate.
It's worth noting that Specificity is not the same as Sensitivity. Although both are important measures, they reflect different aspects of a measure or model's performance. Sensitivity focuses on the ability to detect true positives, while Specificity focuses on the ability to avoid false positives.
Frequently asked questions
What is Specificity?
Specificity is the ratio of true positives (TN) to the total number of true positives and false positives (TN+FP).
Why is Specificity important?
Specificity is important because it is an indicator of a measure or model's ability to avoid false positives.
How does Specificity relate to Sensitivity?
Specificity and Sensitivity are different measures that reflect different aspects of a measure or model's performance. Sensitivity focuses on the ability to detect true positives, while Specificity focuses on the ability to avoid false positives.