Multi-class classification on stomach infection (test)
0.9753AccuracyMobileCoAtNet
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MobileCoAtNetEvaluation Protocol=5-Fold Evaluation2025.12 | 0.9753 | 0.9756 | 0.9762 | 0.9754 | 0.9752 | 0.9724 | |
| XceptionNetEvaluation Protocol=5-Fold Evaluation2025.12 | 0.9204 | 0.9185 | 0.9209 | 0.9186 | 0.9278 | 0.9081 | |
| ResNet50Evaluation Protocol=5-Fold Evaluation2025.12 | 0.888 | 0.8837 | 0.8941 | 0.8859 | 0.923 | 0.8711 | |
| EfficientNetB3Evaluation Protocol=5-Fold Evaluation2025.12 | 0.8742 | 0.8707 | 0.8726 | 0.8707 | 0.9053 | 0.8537 | |
| CoATNetEvaluation Protocol=5-Fold Evaluation2025.12 | 0.8377 | 0.8343 | 0.8378 | 0.8349 | 0.823 | 0.8127 | |
| VGG16Evaluation Protocol=5-Fold Evaluation2025.12 | 0.8053 | 0.8021 | 0.8056 | 0.8027 | 0.8175 | 0.7763 | |
| VGG19Evaluation Protocol=5-Fold Evaluation2025.12 | 0.7902 | 0.786 | 0.7901 | 0.7863 | 0.7869 | 0.7576 | |
| VITEvaluation Protocol=5-Fold Evaluation2025.12 | 0.7555 | 0.7492 | 0.7576 | 0.7518 | 0.6692 | 0.7189 | |
| MobileNetV2Evaluation Protocol=5-Fold Evaluation2025.12 | 0.6615 | 0.6609 | 0.6769 | 0.6616 | 0.6379 | 0.6147 |