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Coeficiente de Correlación de Matthews×Puntuación F1×
CampoEvaluación de modelosEvaluación de modelos
FamiliaMCDMMCDM
Año de origen19751979
Autor originalBrian W. MatthewsC. J. van Rijsbergen
TipoEvaluation metricEvaluation metric
Fuente seminalMatthews, 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
Relacionados55
ResumenThe 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.
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ScholarGateComparar métodos: Matthews Correlation Coefficient · F1-Score. Recuperado el 2026-06-17 de https://scholargate.app/es/compare