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Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

Rechemare (Sensibilitate)×Specificitate×
DomeniuEvaluarea modelelorEvaluarea modelelor
FamilieMCDMMCDM
Anul apariției20th century20th century
Autorul originalHistorical statistical foundationsHistorical statistical foundations
TipEvaluation metricEvaluation metric
Sursa seminalăFawcett, 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 ↗
Denumiri alternativeSensitivity, True Positive Rate, TPRTrue Negative Rate, TNR
Înrudite55
RezumatRecall 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.
ScholarGateSet de date
  1. v1
  2. 2 Surse
  3. PUBLISHED
  1. v1
  2. 2 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Recall (Sensitivity) · Specificity. Preluat la 2026-06-15 de pe https://scholargate.app/ro/compare