BCI classification on Stieger 2021 (inter-subject)
48.9Balanced AccuracyTSMNet(SPDDSMBN)
Evaluation results
| Method | Links | |
|---|---|---|
| TSMNet(SPDDSMBN)UDA=yes, degrees of freedom=61, classes=42022.06 | 48.9 | |
| FBCSP+DSS+LDAUDA=yes, degrees of freedom=61, classes=42022.06 | 48.2 | |
| EEGNet+DANNUDA=yes, degrees of freedom=61, classes=42022.06 | 43.6 | |
| EEGNetUDA=no, degrees of freedom=61, classes=42022.06 | 43.1 | |
| ShConvNet+DANNUDA=yes, degrees of freedom=61, classes=42022.06 | 43.1 | |
| ShConvNetUDA=no, degrees of freedom=61, classes=42022.06 | 42.2 | |
| SPDOT+TSM+SVMUDA=yes, degrees of freedom=61, classes=42022.06 | 42.1 | |
| FB+TSM+LRUDA=no, degrees of freedom=61, classes=42022.06 | 40.3 | |
| TSM+SVMUDA=no, degrees of freedom=61, classes=42022.06 | 40.2 | |
| URPA+MDMUDA=yes, degrees of freedom=61, classes=42022.06 | 38.7 | |
| FBCSP+SVMUDA=no, degrees of freedom=61, classes=42022.06 | 37.6 |