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Sammenlign metoder

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Spesifisitet×Presisjon×
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 ↗
AliasTrue Negative Rate, TNRPositive Predictive Value, PPV
Relaterte55
SammendragSpecificity 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.Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly.
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ScholarGateSammenlign metoder: Specificity · Precision. Hentet 2026-06-15 fra https://scholargate.app/no/compare