Võrdle meetodeid

	Täpsus	F1-hinne
Valdkond	Mudelite hindamine	Mudelite hindamine
Perekond	MCDM	MCDM
Tekkeaasta	20th century	1979
Looja	Historical statistical foundations	C. J. van Rijsbergen
Tüüp	Evaluation metric	Evaluation metric
Algallikas	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.
Rööpnimetused	Positive Predictive Value, PPV	F-measure, Harmonic Mean
Seotud	5	5
Kokkuvõte	Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are 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.