TABLE 4.
Testing accuracy, precision, recall, and F1-score for all class label.
| Model | Class label | Accuracy | Precision | Recall | F1-score |
| CNN from scratch | AD | 0.7244 | 0.7775 | 0.7244 | 0.7500 |
| CN | 0.7132 | 0.7150 | 0.7132 | 0.7141 | |
| MCI | 0.7433 | 0.6941 | 0.7433 | 0.7178 | |
| VGG-16 | AD | 0.8390 | 0.8249 | 0.8390 | 0.8319 |
| CN | 0.8137 | 0.7394 | 0.8137 | 0.7748 | |
| MCI | 0.7042 | 0.7978 | 0.7042 | 0.7481 | |
| ResNet-50 | AD | 0.8317 | 0.7715 | 0.8317 | 0.8005 |
| CN | 0.7500 | 0.7286 | 0.7500 | 0.7391 | |
| MCI | 0.6895 | 0.7726 | 0.6895 | 0.7287 |
Bold values are highest value.