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Youdens J-Statistik×Balanced Accuracy×F1-Score×
FachgebietModellevaluationModellevaluationModellevaluation
FamilieMCDMMCDMMCDM
Entstehungsjahr195020101979
UrheberW. J. YoudenBrodersen, Ong, Stephan, and BuhmannC. J. van Rijsbergen
TypEvaluation metricEvaluation metricEvaluation metric
Wegweisende QuelleYouden, 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 ↗
AliasnamenYouden Index, Sensitivity + Specificity - 1Average Recall, Equal-weight Average SensitivityF-measure, Harmonic Mean
Verwandt355
ZusammenfassungYoudens 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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ScholarGateMethoden vergleichen: Youdens J Statistic · Balanced Accuracy · F1-Score. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare