Compara mètodes

	Puntuació F1	Pèrdua de Hamming
Camp	Avaluació de models	Avaluació de models
Família	MCDM	MCDM
Any d'origen	1979	2000s
Autor original	C. J. van Rijsbergen	Information theory and multi-label learning
Tipus	Evaluation metric	Loss function
Font seminal	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.	Schapire, R. E., & Singer, Y. (2000). BoosTexter: A boosting-based system for text categorization. Machine Learning, 39(2-3), 135-168.
Àlies	F-measure, Harmonic Mean	Hamming Distance, Subset Accuracy Loss
Relacionats	5	1
Resum	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.	Hamming loss measures the fraction of labels that are incorrectly predicted in multi-label classification. It counts the number of label mistakes divided by the total number of labels, providing a simple metric for multi-label problems.