Motor Imagery Classification on BCI Competition 2a IV
0Accuracy dropEEGNet
Evaluation results
| Method | Links | |
|---|---|---|
| EEGNetε=0, n=92026.07 | 0 | |
| CSP+LDAε=0, n=92026.07 | 0 | |
| FBCSP+LDAε=0, n=92026.07 | 0 | |
| FBCSP+LDAε=0.05, n=92026.07 | 5.29 | |
| EEGNetε=0.05, n=92026.07 | 5.71 | |
| CSP+LDAε=0.05, n=92026.07 | 6.52 | |
| FBCSP+LDAε=0.10, n=92026.07 | 9.41 | |
| EEGNetε=0.10, n=92026.07 | 10.96 | |
| CSP+LDAε=0.10, n=92026.07 | 13.31 | |
| FBCSP+LDAε=0.25, n=92026.07 | 24.42 | |
| EEGNetε=0.25, n=92026.07 | 25.73 | |
| CSP+LDAε=0.25, n=92026.07 | 33.49 | |
| EEGNetε=0.50, n=92026.07 | 42.25 | |
| FBCSP+LDAε=0.50, n=92026.07 | 43.4 | |
| CSP+LDAε=0.50, n=92026.07 | 51.77 | |
| EEGNetε=1.00, n=92026.07 | 56.44 | |
| CSP+LDAε=1.00, n=92026.07 | 58.29 | |
| FBCSP+LDAε=1.00, n=92026.07 | 59.03 |