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Validation CT scan classification results using SVM and XG-boost with different grouping percentages’ features (ResneXt-50, Densenet-161, Inception-v3, and Wide-Resnet-50 grouping percentages features) and their combination [6].
| Model | CT Scans Classification (%) | |
|---|---|---|
| SVM | XG-Boost | |
| ResneXt-50 features | 81.63 | 79.59 |
| Densenet-161 features | 82.65 | 82.65 |
| Inception-v3 features | 82.65 | 85.71 |
| Wide-Resnet-50 features | 80.61 | 80.61 |
| CNR-IEMN | 80.61 | 87.75 |
