Сравнение методов

	Коэффициент корреляции Мэтьюса	F1-мера
Область	Оценка моделей	Оценка моделей
Семейство	MCDM	MCDM
Год появления	1975	1979
Автор метода	Brian W. Matthews	C. J. van Rijsbergen
Тип	Evaluation metric	Evaluation metric
Основополагающий источник	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.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.
Другие названия	Phi Coefficient, Binary Classification Correlation	F-measure, Harmonic Mean
Связанные	5	5
Сводка	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.	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.