Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Takwimu ya J ya Youden× | Umahiri (Specificity)× | |
|---|---|---|
| Nyanja | Tathmini ya Modeli | Tathmini ya Modeli |
| Familia | MCDM | MCDM |
| Mwaka wa asili≠ | 1950 | 20th century |
| Mwanzilishi≠ | W. J. Youden | Historical statistical foundations |
| Aina | Evaluation metric | Evaluation metric |
| Chanzo asilia≠ | Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35. DOI ↗ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ |
| Majina mbadala | Youden Index, Sensitivity + Specificity - 1 | True Negative Rate, TNR |
| Zinazohusiana≠ | 3 | 5 |
| Muhtasari≠ | 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. | 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. |
| ScholarGateSeti ya data ↗ |
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