Salīdzināt metodes

	Jūdena J statistika	F1-novērtējums	Specifiskums
Nozare	Modeļu novērtēšana	Modeļu novērtēšana	Modeļu novērtēšana
Saime	MCDM	MCDM	MCDM
Izcelsmes gads	1950	1979	20th century
Autors	W. J. Youden	C. J. van Rijsbergen	Historical statistical foundations
Tips	Evaluation metric	Evaluation metric	Evaluation metric
Pirmavots	Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
Citi nosaukumi	Youden Index, Sensitivity + Specificity - 1	F-measure, Harmonic Mean	True Negative Rate, TNR
Saistītās	3	5	5
Kopsavilkums	Youdens J statistic, also called the Youden index, measures the maximum difference between the true positive rate and false positive rate across different classification thresholds. It is useful for selecting optimal cutoff points in diagnostic testing.	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.	Specificity measures the proportion of actual negative cases that were correctly identified as negative by the classifier. It answers the question: 'Of all the cases that were truly negative, how many did we correctly reject?' Specificity is complementary to recall and is essential when false positives are costly.