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Prisjećanje (osjetljivost)×Specifičnost×
PodručjeEvaluacija modelaEvaluacija modela
ObiteljMCDMMCDM
Godina nastanka20th century20th century
TvoracHistorical statistical foundationsHistorical statistical foundations
VrstaEvaluation metricEvaluation metric
Temeljni izvorFawcett, 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 ↗
Drugi naziviSensitivity, True Positive Rate, TPRTrue Negative Rate, TNR
Srodne55
SažetakRecall 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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ScholarGateUsporedite metode: Recall (Sensitivity) · Specificity. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare