Порівняння методів

	Коефіцієнт кореляції Метьюза	F1-Score
Галузь	Оцінювання моделей	Оцінювання моделей
Родина	MCDM	MCDM
Рік появи	1975	1979
Автор методу	Brian W. Matthews	C. J. van Rijsbergen
Тип	Evaluation metric	Evaluation metric
Основоположне джерело	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.
Інші назви	Phi Coefficient, Binary Classification Correlation	F-measure, Harmonic Mean
Пов'язані	5	5
Підсумок	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.