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Estatística J de Youden×Acurácia Balanceada×F1-Score×
ÁreaAvaliação de modelosAvaliação de modelosAvaliação de modelos
FamíliaMCDMMCDMMCDM
Ano de origem195020101979
Autor originalW. J. YoudenBrodersen, Ong, Stephan, and BuhmannC. J. van Rijsbergen
TipoEvaluation metricEvaluation metricEvaluation metric
Fonte seminalYouden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35. DOI ↗Brodersen, K. H., Ong, C. S., Stephan, K. E., & Buhmann, J. M. (2010). The balanced accuracy and its posterior distribution. 20th International Conference on Pattern Recognition (ICPR), 3121-3124. DOI ↗van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗
Outros nomesYouden Index, Sensitivity + Specificity - 1Average Recall, Equal-weight Average SensitivityF-measure, Harmonic Mean
Relacionados355
ResumoYoudens 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.Balanced accuracy is the average of recall values computed for each class separately. It corrects for class imbalance by giving equal weight to the performance on each class, regardless of class frequency in the dataset.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.
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ScholarGateComparar métodos: Youdens J Statistic · Balanced Accuracy · F1-Score. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare