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Odziv (Osetljivost)×Metjuzov koeficijent korelacije×
OblastEvaluacija modelaEvaluacija modela
PorodicaMCDMMCDM
Godina nastanka20th century1975
TvoracHistorical statistical foundationsBrian W. Matthews
TipEvaluation metricEvaluation metric
Temeljni izvorFawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗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 ↗
Drugi naziviSensitivity, True Positive Rate, TPRPhi Coefficient, Binary Classification Correlation
Srodne55
SažetakRecall 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.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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ScholarGateUporedite metode: Recall (Sensitivity) · Matthews Correlation Coefficient. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare