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Matrica konfuzije×Odziv (Osetljivost)×
OblastEvaluacija modelaEvaluacija modela
PorodicaMCDMMCDM
Godina nastanka20th century20th century
TvoracStatistical foundationsHistorical statistical foundations
TipEvaluation visualizationEvaluation metric
Temeljni izvorEveritt, 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 ↗
Drugi naziviError Matrix, Contingency TableSensitivity, True Positive Rate, TPR
Srodne55
SažetakThe 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.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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ScholarGateUporedite metode: Confusion Matrix · Recall (Sensitivity). Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare