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Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Statistica J di Youden× | Accuratezza Bilanciata× | |
|---|---|---|
| Campo | Valutazione dei modelli | Valutazione dei modelli |
| Famiglia | MCDM | MCDM |
| Anno di origine≠ | 1950 | 2010 |
| Ideatore≠ | W. J. Youden | Brodersen, Ong, Stephan, and Buhmann |
| Tipo | Evaluation metric | Evaluation metric |
| Fonte seminale≠ | Youden, 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 ↗ |
| Alias | Youden Index, Sensitivity + Specificity - 1 | Average Recall, Equal-weight Average Sensitivity |
| Correlati≠ | 3 | 5 |
| Sintesi≠ | 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. | 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. |
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