Uporedite metode

	Weighted F1	F1-mera
Oblast	Evaluacija modela	Evaluacija modela
Porodica	MCDM	MCDM
Godina nastanka	2000s	1979
Tvorac	Multi-class evaluation community	C. J. van Rijsbergen
Tip	Evaluation metric	Evaluation metric
Temeljni izvor	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.
Drugi nazivi	Support-weighted F1	F-measure, Harmonic Mean
Srodne	3	5
Sažetak	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.	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.