Table 10.
The average training performance results with 5repeated 2-fold cross validations of emotion and view stimuli.
| Model | Validation_Acc | Control_Acc | Alzheimer_Acc | Validation_Auc | Control_Auc | Alzheimer_Auc |
|---|---|---|---|---|---|---|
| DeepConvNet | 0.471126 | 0.317345 | 0.243897 | 0.793737 | 0.623122 | 0.499631 |
| EEGNet | 0.476327 | 0.312848 | 0.253756 | 0.809606 | 0.638286 | 0.510020 |
| EEGNet.SSVEP | 0.486617 | 0.332120 | 0.244131 | 0.802357 | 0.644521 | 0.503745 |
| EEGNet_SSVEP_regularization | 0.498247 | 0.329336 | 0.255634 | 0.806665 | 0.633405 | 0.508321 |
| augmented_DeepConvNet | 0.472622 | 0.314347 | 0.251643 | 0.793103 | 0.615264 | 0.492476 |
| augmented_EEGNet | 0.479862 | 0.311563 | 0.252582 | 0.812790 | 0.627414 | 0.512293 |
| augmented_EEGNet_SSVEP | 0.497408 | 0.315632 | 0.239437 | 0.807479 | 0.619471 | 0.496971 |
| augmented_EEGNet_SSVEP_regularization | 0.501958 | 0.327445 | 0.244131 | 0.804156 | 0.631282 | 0.501964 |