EEG Classification on Mumtaz 2016
95.85Balanced AccuracyCBraMod-MTDP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CBraMod-MTDPPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 95.85 | 99.55 | 99.55 | |
| CBraModPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 95.6 | 99.23 | 99.21 | |
| LaBraMPretrain Dataset (Hours)=25002026.03 | 94.09 | 97.98 | 97.82 | |
| BIOTPretrain Dataset (Hours)=1222026.03 | 93.58 | 97.36 | 97.58 | |
| SPaRCNetPretrain Dataset (Hours)=02026.03 | 93.16 | 97.54 | 97.81 | |
| FFCLPretrain Dataset (Hours)=02026.03 | 93.14 | 97.17 | 97.53 | |
| EEGConformerPretrain Dataset (Hours)=02026.03 | 93.08 | 96.84 | 97.02 | |
| CNN-TransformerPretrain Dataset (Hours)=02026.03 | 93.05 | 97.57 | 97.42 | |
| CBraMod-MTDPPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 92.72 | 98.52 | 98.45 | |
| EEGNetPretrain Dataset (Hours)=02026.03 | 92.32 | 96.26 | 96.39 | |
| ContraWRPretrain Dataset (Hours)=02026.03 | 91.95 | 95.89 | 96.21 | |
| ST-TransformerPretrain Dataset (Hours)=02026.03 | 91.35 | 95.78 | 95.94 | |
| CBraModPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 90.31 | 97.87 | 97.56 |