方法对比
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| 尤登J统计量× | 平衡准确率× | |
|---|---|---|
| 领域 | 模型评估 | 模型评估 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 1950 | 2010 |
| 提出者≠ | W. J. Youden | Brodersen, Ong, Stephan, and Buhmann |
| 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 ↗ | 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 ↗ |
| 别名 | Youden Index, Sensitivity + Specificity - 1 | Average Recall, Equal-weight Average Sensitivity |
| 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. | 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. |
| ScholarGate数据集 ↗ |
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