Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Сбалансированная точность× | F1-мера× | |
|---|---|---|
| Область | Оценка моделей | Оценка моделей |
| Семейство | MCDM | MCDM |
| Год появления≠ | 2010 | 1979 |
| Автор метода≠ | Brodersen, Ong, Stephan, and Buhmann | C. J. van Rijsbergen |
| Тип | Evaluation metric | Evaluation metric |
| Основополагающий источник≠ | 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 ↗ | van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗ |
| Другие названия | Average Recall, Equal-weight Average Sensitivity | F-measure, Harmonic Mean |
| Связанные | 5 | 5 |
| Сводка≠ | 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. | 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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