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Förväxlingsmatris×Matthews Korrelationskoefficient×
ÄmnesområdeModellutvärderingModellutvärdering
FamiljMCDMMCDM
Ursprungsår20th century1975
UpphovspersonStatistical foundationsBrian W. Matthews
TypEvaluation visualizationEvaluation metric
UrsprungskällaEveritt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗Matthews, B. W. (1975). Comparison of predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta (BBA)-Protein Structure, 405(2), 442-451. DOI ↗
AliasError Matrix, Contingency TablePhi Coefficient, Binary Classification Correlation
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.The Matthews Correlation Coefficient (MCC) is a correlation measure between predicted and actual binary classifications. It ranges from -1 to 1 and is considered one of the most reliable single-score metrics for evaluating binary classifiers, especially on imbalanced datasets.
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  1. v1
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ScholarGateJämför metoder: Confusion Matrix · Matthews Correlation Coefficient. Hämtad 2026-06-18 från https://scholargate.app/sv/compare