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Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Statistica J di Youden× | Punteggio F1× | Specificità× | |
|---|---|---|---|
| Campo | Valutazione dei modelli | Valutazione dei modelli | Valutazione dei modelli |
| Famiglia | MCDM | MCDM | MCDM |
| Anno di origine≠ | 1950 | 1979 | 20th century |
| Ideatore≠ | W. J. Youden | C. J. van Rijsbergen | Historical statistical foundations |
| Tipo | Evaluation metric | Evaluation metric | Evaluation metric |
| Fonte seminale≠ | Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35. DOI ↗ | van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ |
| Alias | Youden Index, Sensitivity + Specificity - 1 | F-measure, Harmonic Mean | True Negative Rate, TNR |
| Correlati≠ | 3 | 5 | 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. | 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. |
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