Порівняння методів

	F1-Score	Зважена F1
Галузь	Оцінювання моделей	Оцінювання моделей
Родина	MCDM	MCDM
Рік появи	1979	2000s
Автор методу	C. J. van Rijsbergen	Multi-class evaluation community
Тип	Evaluation metric	Evaluation metric
Основоположне джерело	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.	Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63.
Інші назви	F-measure, Harmonic Mean	Support-weighted F1
Пов'язані	5	3
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.	Weighted F1 computes the F1-score for each class and then takes a weighted average, where weights are proportional to the number of samples in each class (support). It provides a middle ground between macro and micro-averaging.