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Prisjećanje (osjetljivost)×Preciznost×
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, TPRPositive Predictive Value, PPV
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.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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ScholarGateUsporedite metode: Recall (Sensitivity) · Precision. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare