Salīdzināt metodes

	Precizitāte	F1-novērtējums
Nozare	Modeļu novērtēšana	Modeļu novērtēšana
Saime	MCDM	MCDM
Izcelsmes gads	20th century	1979
Autors	Historical statistical foundations	C. J. van Rijsbergen
Tips	Evaluation metric	Evaluation metric
Pirmavots	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.
Citi nosaukumi	Positive Predictive Value, PPV	F-measure, Harmonic Mean
Saistītās	5	5
Kopsavilkums	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.