Table 4.
Comparison of performance of classification methods with power spectra features of EEG2.
| SVM | ShallowNet | EEGNet | SWLDA | |
|---|---|---|---|---|
| Leave-one-out validation | 78% | 71% | 43% | 36% |
The maximum accuracies for each category are in bold.
Comparison of performance of classification methods with power spectra features of EEG2.
| SVM | ShallowNet | EEGNet | SWLDA | |
|---|---|---|---|---|
| Leave-one-out validation | 78% | 71% | 43% | 36% |
The maximum accuracies for each category are in bold.