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Citlivosť (Recall)׊pecifickosť×
OdborHodnotenie modelovHodnotenie modelov
RodinaMCDMMCDM
Rok vzniku20th century20th century
TvorcaHistorical statistical foundationsHistorical statistical foundations
TypEvaluation metricEvaluation metric
Pôvodný zdrojFawcett, 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 ↗
Ďalšie názvySensitivity, True Positive Rate, TPRTrue Negative Rate, TNR
Príbuzné55
ZhrnutieRecall 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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ScholarGatePorovnať metódy: Recall (Sensitivity) · Specificity. Získané 2026-06-17 z https://scholargate.app/sk/compare