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Matthews korrelasjonskoeffisient×Youdens J-statistikk×
FagfeltModellevalueringModellevaluering
FamilieMCDMMCDM
Opprinnelsesår19751950
OpphavspersonBrian W. MatthewsW. J. Youden
TypeEvaluation metricEvaluation metric
Opprinnelig kildeMatthews, 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 ↗Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35. DOI ↗
AliasPhi Coefficient, Binary Classification CorrelationYouden Index, Sensitivity + Specificity - 1
Relaterte53
SammendragThe 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.Youdens J statistic, also called the Youden index, measures the maximum difference between the true positive rate and false positive rate across different classification thresholds. It is useful for selecting optimal cutoff points in diagnostic testing.
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ScholarGateSammenlign metoder: Matthews Correlation Coefficient · Youdens J Statistic. Hentet 2026-06-18 fra https://scholargate.app/no/compare