Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Статистика J Юдена× | F1-мера× | Специфичность× | |
|---|---|---|---|
| Область | Оценка моделей | Оценка моделей | Оценка моделей |
| Семейство | MCDM | MCDM | MCDM |
| Год появления≠ | 1950 | 1979 | 20th century |
| Автор метода≠ | W. J. Youden | C. J. van Rijsbergen | Historical statistical foundations |
| Тип | Evaluation metric | Evaluation metric | Evaluation metric |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия | Youden Index, Sensitivity + Specificity - 1 | F-measure, Harmonic Mean | True Negative Rate, TNR |
| Связанные≠ | 3 | 5 | 5 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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