BCI classification on Lehner 2021 (inter-session)
77.7Balanced AccuracyTSMNet(SPDDSMBN)
Evaluation Results
| Method | Links | |
|---|---|---|
| TSMNet(SPDDSMBN)UDA=yes, degrees of freedom=6, classes=22022.06 | 77.7 | |
| FBCSP+DSS+LDAUDA=yes, degrees of freedom=6, classes=22022.06 | 77.1 | |
| FB+TSM+LRUDA=no, degrees of freedom=6, classes=22022.06 | 73 | |
| URPA+MDMUDA=yes, degrees of freedom=6, classes=22022.06 | 70.8 | |
| FBCSP+SVMUDA=no, degrees of freedom=6, classes=22022.06 | 68.9 | |
| SPDOT-TSM+SVMUDA=yes, degrees of freedom=6, classes=22022.06 | 63 | |
| TSM+SVMUDA=no, degrees of freedom=6, classes=22022.06 | 62.7 | |
| ShConvNet+DANNUDA=yes, degrees of freedom=6, classes=22022.06 | 57.5 | |
| ShConvNetUDA=no, degrees of freedom=6, classes=22022.06 | 56.3 | |
| EEGNet+DANNUDA=yes, degrees of freedom=6, classes=22022.06 | 49.8 | |
| EEGNetUDA=no, degrees of freedom=6, classes=22022.06 | 49.6 |