方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 尤登J统计量× | 特异度× | |
|---|---|---|
| 领域 | 模型评估 | 模型评估 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 1950 | 20th century |
| 提出者≠ | W. J. Youden | Historical statistical foundations |
| 类型 | Evaluation metric | Evaluation metric |
| 开创性文献≠ | 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 ↗ |
| 别名 | Youden Index, Sensitivity + Specificity - 1 | True Negative Rate, TNR |
| 相关≠ | 3 | 5 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|