BCI classification on BNCI2015001 (inter-subject)
77Balanced AccuracyTSMNet(SPDDSMBN)
Evaluation Results
| Method | Links | |
|---|---|---|
| TSMNet(SPDDSMBN)UDA=yes, degrees of freedom=11, classes=22022.06 | 77 | |
| URPA+MDMUDA=yes, degrees of freedom=11, classes=22022.06 | 70.3 | |
| FBCSP+DSS+LDAUDA=yes, degrees of freedom=11, classes=22022.06 | 67.7 | |
| ShConvNet+DANNUDA=yes, degrees of freedom=11, classes=22022.06 | 64.2 | |
| EEGNet+DANNUDA=yes, degrees of freedom=11, classes=22022.06 | 63.7 | |
| SPDOT-TSM+SVMUDA=yes, degrees of freedom=11, classes=22022.06 | 63.3 | |
| FB+TSM+LRUDA=no, degrees of freedom=11, classes=22022.06 | 60.6 | |
| EEGNetUDA=no, degrees of freedom=11, classes=22022.06 | 59.2 | |
| ShConvNetUDA=no, degrees of freedom=11, classes=22022.06 | 58.7 | |
| FBCSP+SVMUDA=no, degrees of freedom=11, classes=22022.06 | 58.6 | |
| TSM+SVMUDA=no, degrees of freedom=11, classes=22022.06 | 56 |