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Matthews Korrelationskoefficient×F1-poäng×
ÄmnesområdeModellutvärderingModellutvärdering
FamiljMCDMMCDM
Ursprungsår19751979
UpphovspersonBrian W. MatthewsC. J. van Rijsbergen
TypEvaluation metricEvaluation metric
UrsprungskällaMatthews, 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 ↗van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗
AliasPhi Coefficient, Binary Classification CorrelationF-measure, Harmonic Mean
Närliggande55
SammanfattningThe 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.The F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important.
ScholarGateDatamängd
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  1. v1
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  3. PUBLISHED

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ScholarGateJämför metoder: Matthews Correlation Coefficient · F1-Score. Hämtad 2026-06-17 från https://scholargate.app/sv/compare