Compara mètodes

	Recordació (Sensibilitat)	Puntuació F1
Camp	Avaluació de models	Avaluació de models
Família	MCDM	MCDM
Any d'origen	20th century	1979
Autor original	Historical statistical foundations	C. J. van Rijsbergen
Tipus	Evaluation metric	Evaluation metric
Font seminal	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.
Àlies	Sensitivity, True Positive Rate, TPR	F-measure, Harmonic Mean
Relacionats	5	5
Resum	Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly.	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.