Multi-class Classification on Alzheimer's Disease (test)
98.5AccuracyEnd-Net
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| End-Net2026.06 | 98.5 | 98.5 | 98.5 | 98.5 | 0.0625 | 0.0068 | |
| VGG192026.06 | 97.83 | 98 | 97.83 | 97.91 | 0.1012 | 0.0096 | |
| DenseNet2026.06 | 97 | 97 | 97 | 97 | 0.0889 | 0.0126 | |
| C-DCNN2026.06 | 96.33 | 96.33 | 96.17 | 96.25 | 0.0923 | 0.0146 | |
| CNN2026.06 | 95.83 | 95.83 | 95.83 | 95.83 | 0.1008 | 0.0163 | |
| NeuroNet192026.06 | 94.67 | 94.66 | 94.5 | 94.58 | 0.197 | 0.021 | |
| InceptionV32026.06 | 91.33 | 91.33 | 91.33 | 91.33 | 0.2244 | 0.0317 | |
| AlexNet2026.06 | 88 | 89.59 | 87.5 | 88.53 | 0.2592 | 0.0404 |