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Kontingenčná tabuľka׊pecifickosť×
OdborHodnotenie modelovHodnotenie modelov
RodinaMCDMMCDM
Rok vzniku20th century20th century
TvorcaStatistical foundationsHistorical statistical foundations
TypEvaluation visualizationEvaluation metric
Pôvodný zdrojEveritt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗
Ďalšie názvyError Matrix, Contingency TableTrue Negative Rate, TNR
Príbuzné55
ZhrnutieThe confusion matrix is a table that displays the counts of true positives, true negatives, false positives, and false negatives. It provides a complete picture of where a classifier makes correct and incorrect predictions, enabling calculation of all other classification metrics.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: Confusion Matrix · Specificity. Získané 2026-06-17 z https://scholargate.app/sk/compare