Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Полнота (Чувствительность)× | F1-мера× | |
|---|---|---|
| Область | Оценка моделей | Оценка моделей |
| Семейство | MCDM | MCDM |
| Год появления≠ | 20th century | 1979 |
| Автор метода≠ | Historical statistical foundations | C. J. van Rijsbergen |
| Тип | Evaluation metric | Evaluation metric |
| Основополагающий источник≠ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ | van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗ |
| Другие названия≠ | Sensitivity, True Positive Rate, TPR | F-measure, Harmonic Mean |
| Связанные | 5 | 5 |
| Сводка≠ | Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly. | 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. |
| ScholarGateНабор данных ↗ |
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