Sensitivity and specificity are statistical measures of the performance of a binary classification test. The sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified as such (e.g. the percentage of sick people who are identified as having the condition); and the specificity measures the proportion of negatives which are correctly identified (e.g. the percentage of well people who are identified as not having the condition).

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  • Sensitivity and specificity are statistical measures of the performance of a binary classification test. The sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified as such (e.g. the percentage of sick people who are identified as having the condition); and the specificity measures the proportion of negatives which are correctly identified (e.g. the percentage of well people who are identified as not having the condition). They are closely related to the concepts of type I and type II errors. A theoretical, optimal prediction can achieve 100% sensitivity (i.e. predict all people from the sick group as sick) and 100% specificity (i.e. not predict anyone from the healthy group). For any test, there is usually a trade-off between each measure. For example in a manufacturing setting in which one is testing for faults, one may be willing to risk discarding functioning components (low specificity), in order to increase the chance of identifying nearly all faulty components (high sensitivity). This trade-off can be represented graphically using a ROC curve.
  • Donde VN, serían los verdaderos negativos; y FP, los falsos positivos. Por eso a la especificidad también se le denomina fracción de verdaderos negativos (FVN).
  • En statistique et en épidémiologie, la sensibilité d'un test ou d'un examen diagnostique est sa capacité de donner un résultat positif lorsque la maladie (ou la condition) est présente. Elle s'oppose à la spécificité, qui est la capacité d'un test ou d'un examen de donner un résultat négatif lorsque la maladie n'est pas présente.
  • Sensitivitet är ett statistiskt mått som en typ av utfall i en viss typ av statistiska tester kallade binära klassifikationstest. Sensitivitet beräknas som det Korrekt antalet identifierade positiva utfall genom det Verkliga antal positiva Exempel: Sensitivitet = a / (a + c)
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  • Sensitivity and specificity are statistical measures of the performance of a binary classification test. The sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified as such (e.g. the percentage of sick people who are identified as having the condition); and the specificity measures the proportion of negatives which are correctly identified (e.g. the percentage of well people who are identified as not having the condition).
  • Donde VN, serían los verdaderos negativos; y FP, los falsos positivos. Por eso a la especificidad también se le denomina fracción de verdaderos negativos (FVN).
  • En statistique et en épidémiologie, la sensibilité d'un test ou d'un examen diagnostique est sa capacité de donner un résultat positif lorsque la maladie (ou la condition) est présente. Elle s'oppose à la spécificité, qui est la capacité d'un test ou d'un examen de donner un résultat négatif lorsque la maladie n'est pas présente.
  • Sensitivitet är ett statistiskt mått som en typ av utfall i en viss typ av statistiska tester kallade binära klassifikationstest. Sensitivitet beräknas som det Korrekt antalet identifierade positiva utfall genom det Verkliga antal positiva Exempel: Sensitivitet = a / (a + c)
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  • Sensitivity and specificity
  • Especificidad
  • Sensibilité (statistique)
  • Sensitivitet
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