השוואת שיטות

	F1 ממוצע-מאקרו	מדד F1
תחום	הערכת מודלים	הערכת מודלים
משפחה	MCDM	MCDM
שנת המקור	2000s	1979
הוגה השיטה	Multi-class evaluation community	C. J. van Rijsbergen
סוג	Evaluation metric	Evaluation metric
מקור מכונן	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.
כינויים	Macro F1, Unweighted average F1	F-measure, Harmonic Mean
קשורות	3	5
תקציר	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.