مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| بازیابی (حساسیت)× | دقت موزون× | |
|---|---|---|
| حوزه | ارزیابی مدل | ارزیابی مدل |
| خانواده | MCDM | MCDM |
| سال پیدایش≠ | 20th century | 2010 |
| پدیدآور≠ | Historical statistical foundations | Brodersen, Ong, Stephan, and Buhmann |
| نوع | Evaluation metric | Evaluation metric |
| منبع بنیادین≠ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ | 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 ↗ |
| نامهای دیگر≠ | Sensitivity, True Positive Rate, TPR | Average Recall, Equal-weight Average Sensitivity |
| مرتبط | 5 | 5 |
| خلاصه≠ | 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. | 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. |
| ScholarGateمجموعهداده ↗ |
|
|