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Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.

Presnosť×Citlivosť (Recall)×
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 názvyPositive Predictive Value, PPVSensitivity, True Positive Rate, TPR
Príbuzné55
ZhrnutiePrecision 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.Recall 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.
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ScholarGatePorovnať metódy: Precision · Recall (Sensitivity). Získané 2026-06-17 z https://scholargate.app/sk/compare