방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| Youden의 J 통계량× | 특이도(Specificity)× | |
|---|---|---|
| 분야 | 모델 평가 | 모델 평가 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 1950 | 20th century |
| 창시자≠ | W. J. Youden | Historical statistical foundations |
| 유형 | Evaluation metric | Evaluation metric |
| 원전≠ | 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 ↗ |
| 별칭 | Youden Index, Sensitivity + Specificity - 1 | True Negative Rate, TNR |
| 관련≠ | 3 | 5 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
|
|