قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| الدقة المتوازنة× | مقياس F1 (F1-Score)× | |
|---|---|---|
| المجال | تقييم النماذج | تقييم النماذج |
| العائلة | MCDM | MCDM |
| سنة النشأة≠ | 2010 | 1979 |
| صاحب الطريقة≠ | Brodersen, Ong, Stephan, and Buhmann | C. J. van Rijsbergen |
| النوع | Evaluation metric | Evaluation metric |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة | Average Recall, Equal-weight Average Sensitivity | F-measure, Harmonic Mean |
| ذات صلة | 5 | 5 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
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