BCI classification on BNCI2014001 (inter-subject)
51.6Balanced AccuracyTSMNet(SPDDSMBN)
Evaluation Results
| Method | Links | |
|---|---|---|
| TSMNet(SPDDSMBN)UDA=yes, degrees of freedom=8, classes=42022.06 | 51.6 | |
| FBCSP+DSS+LDAUDA=yes, degrees of freedom=8, classes=42022.06 | 48.3 | |
| URPA+MDMUDA=yes, degrees of freedom=8, classes=42022.06 | 46.8 | |
| EEGNet+DANNUDA=yes, degrees of freedom=8, classes=42022.06 | 45.8 | |
| EEGNetUDA=no, degrees of freedom=8, classes=42022.06 | 43.3 | |
| ShConvNetUDA=no, degrees of freedom=8, classes=42022.06 | 42.2 | |
| ShConvNet+DANNUDA=yes, degrees of freedom=8, classes=42022.06 | 42.2 | |
| SPDOT-TSM+SVMUDA=yes, degrees of freedom=8, classes=42022.06 | 38.6 | |
| FB+TSM+LRUDA=no, degrees of freedom=8, classes=42022.06 | 36.5 | |
| TSM+SVMUDA=no, degrees of freedom=8, classes=42022.06 | 34.7 | |
| FBCSP+SVMUDA=no, degrees of freedom=8, classes=42022.06 | 32.3 |