مقایسهٔ روش‌ها

	F1 میانگین ماکرو	امتیاز F1
حوزه	ارزیابی مدل	ارزیابی مدل
خانواده	MCDM	MCDM
سال پیدایش	2000s	1979
پدیدآور	Multi-class evaluation community	C. J. van Rijsbergen
نوع	Evaluation metric	Evaluation metric
منبع بنیادین	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.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.
نام‌های دیگر	Macro F1, Unweighted average F1	F-measure, Harmonic Mean
مرتبط	3	5
خلاصه	Macro-averaged F1 computes the F1-score independently for each class and then takes the unweighted arithmetic mean. It treats all classes equally, regardless of their frequency in the dataset, making it useful for imbalanced multi-class problems.	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.