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Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Forvirringsmatrise×Spesifisitet×
FagfeltModellevalueringModellevaluering
FamilieMCDMMCDM
Opprinnelsesår20th century20th century
OpphavspersonStatistical foundationsHistorical statistical foundations
TypeEvaluation visualizationEvaluation metric
Opprinnelig kildeEveritt, 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 TableTrue Negative Rate, TNR
Relaterte55
SammendragThe 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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ScholarGateSammenlign metoder: Confusion Matrix · Specificity. Hentet 2026-06-17 fra https://scholargate.app/no/compare