مقایسهٔ روش‌ها

	امتیاز F1	F1 وزنی (Weighted F1)
حوزه	ارزیابی مدل	ارزیابی مدل
خانواده	MCDM	MCDM
سال پیدایش	1979	2000s
پدیدآور	C. J. van Rijsbergen	Multi-class evaluation community
نوع	Evaluation metric	Evaluation metric
منبع بنیادین	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.
نام‌های دیگر	F-measure, Harmonic Mean	Support-weighted F1
مرتبط	5	3
خلاصه	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.