Порівняння методів

	F1-Score	Точність (Precision)
Галузь	Оцінювання моделей	Оцінювання моделей
Родина	MCDM	MCDM
Рік появи	1979	20th century
Автор методу	C. J. van Rijsbergen	Historical statistical foundations
Тип	Evaluation metric	Evaluation metric
Основоположне джерело	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
Інші назви	F-measure, Harmonic Mean	Positive Predictive Value, PPV
Пов'язані	5	5
Підсумок	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.	Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly.