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Sammenlign metoder

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Gjenkalling (Sensitivitet)×Spesifisitet×
FagfeltModellevalueringModellevaluering
FamilieMCDMMCDM
Opprinnelsesår20th century20th century
OpphavspersonHistorical statistical foundationsHistorical statistical foundations
TypeEvaluation metricEvaluation metric
Opprinnelig kildeFawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗
AliasSensitivity, True Positive Rate, TPRTrue Negative Rate, TNR
Relaterte55
SammendragRecall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly.Specificity measures the proportion of actual negative cases that were correctly identified as negative by the classifier. It answers the question: 'Of all the cases that were truly negative, how many did we correctly reject?' Specificity is complementary to recall and is essential when false positives are costly.
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ScholarGateSammenlign metoder: Recall (Sensitivity) · Specificity. Hentet 2026-06-15 fra https://scholargate.app/no/compare