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| الدقة المتوازنة× | الدقة× | |
|---|---|---|
| المجال | تقييم النماذج | تقييم النماذج |
| العائلة | MCDM | MCDM |
| سنة النشأة≠ | 2010 | 20th century |
| صاحب الطريقة≠ | Brodersen, Ong, Stephan, and Buhmann | Historical statistical foundations |
| 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 ↗ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ |
| الأسماء البديلة | Average Recall, Equal-weight Average Sensitivity | Positive Predictive Value, PPV |
| 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. | Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly. |
| ScholarGateمجموعة البيانات ↗ |
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