Σύγκριση μεθόδων

	Βαθμολογία F1	Μέσος όρος F1 (Macro-averaged F1)
Πεδίο	Αξιολόγηση Μοντέλων	Αξιολόγηση Μοντέλων
Οικογένεια	MCDM	MCDM
Έτος προέλευσης	1979	2000s
Δημιουργός	C. J. van Rijsbergen	Multi-class evaluation community
Τύπος	Evaluation metric	Evaluation metric
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	F-measure, Harmonic Mean	Macro F1, Unweighted average F1
Συναφείς	5	3
Σύνοψη	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.	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.