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| Στατιστική J του Youden× | Σταθμισμένη Ακρίβεια× | |
|---|---|---|
| Πεδίο | Αξιολόγηση Μοντέλων | Αξιολόγηση Μοντέλων |
| Οικογένεια | MCDM | MCDM |
| Έτος προέλευσης≠ | 1950 | 2010 |
| Δημιουργός≠ | W. J. Youden | Brodersen, Ong, Stephan, and Buhmann |
| Τύπος | Evaluation metric | Evaluation metric |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | Youden Index, Sensitivity + Specificity - 1 | Average Recall, Equal-weight Average Sensitivity |
| Συναφείς≠ | 3 | 5 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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