Table 2.
Confusion Matrix Without Normalization
| Predicted Class | |||||
|---|---|---|---|---|---|
| Image Category | Actual Class | K | N | S | Total |
| Four-map selectable display | K | 789 | 8 | 33 | 830 |
| N | 0 | 887 | 0 | 887 | |
| S | 0 | 0 | 857 | 857 | |
| Front elevation map | K | 764 | 0 | 66 | 830 |
| N | 0 | 887 | 0 | 887 | |
| S | 34 | 0 | 823 | 857 | |
| Back elevation map | K | 796 | 18 | 16 | 830 |
| N | 0 | 869 | 18 | 887 | |
| S | 26 | 8 | 823 | 857 | |
| Pachymetry map | K | 830 | 0 | 0 | 830 |
| N | 0 | 878 | 9 | 887 | |
| S | 0 | 9 | 848 | 857 | |
| Front sagittal curvature map | K | 813 | 0 | 17 | 830 |
| N | 0 | 887 | 0 | 887 | |
| S | 9 | 26 | 822 | 857 | |
The numbers represent the average of 10 training/validation trials by the CNN using each image category and random seeds.