Table 2 Comparison of the identification model architectures.
Model | # of parameters [mln.] | Simulated test set | Experimental test set | Inference time [s] | ||||
|---|---|---|---|---|---|---|---|---|
F\(_1\)-score | EMR | RMSE | F\(_1\)-score | EMR | RMSE | |||
MLP | 56 | 0.50 | 0.05 | 0.16 | 0.42 | 0.12 | 0.15 | 0.1 |
CNN | 45 | 0.90 | 0.68 | 0.07 | 0.76 | 0.42 | 0.12 | 0.2 |
ResNet | 41 | 0.89 | 0.68 | 0.07 | 0.77 | 0.53 | 0.10 | 0.3 |
U-Net | 20 | 0.86 | 0.63 | 0.07 | 0.84 | 0.62 | 0.09 | 0.2 |
ViT | 2 | 0.84 | 0.55 | 0.09 | 0.84 | 0.60 | 0.08 | 0.6 |
CCT | 5 | 0.87 | 0.60 | 0.08 | 0.79 | 0.58 | 0.08 | 0.6 |