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Förväxlingsmatris×Recall (känslighet)×
ÄmnesområdeModellutvärderingModellutvärdering
FamiljMCDMMCDM
Ursprungsår20th century20th century
UpphovspersonStatistical foundationsHistorical statistical foundations
TypEvaluation visualizationEvaluation metric
UrsprungskällaEveritt, 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 ↗
AliasError Matrix, Contingency TableSensitivity, True Positive Rate, TPR
Närliggande55
SammanfattningThe 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.
ScholarGateDatamängd
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  2. 2 Källor
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  1. v1
  2. 2 Källor
  3. PUBLISHED

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ScholarGateJämför metoder: Confusion Matrix · Recall (Sensitivity). Hämtad 2026-06-18 från https://scholargate.app/sv/compare