Classification on Bangalore EEG 2 labels (test)
100AccuracyOT model
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| OT modelBatch size (OT)=50, MLP units=(32,32), Dropout (SA)=0.3, Dropout (MLP)=0.3, Batch size (NN)=64, Epochs=50, Learning rate=0.001, Computational time=8.62 s2025.12 | 100 | 100 | 100 | |
| TransformerTransformer blocks=nlabels - 1, Number of heads=10, Head dimension=64, Feedforward dimension (SA)=32, MLP units=(32,32), Dropout (SA)=0.1, Dropout (MLP)=0.1, Batch size (NN)=64, Epochs=100, Learning rate=0.001, Computational time=20.59 s2025.12 | 92.5 | 100 | 89.8 | |
| Pretrained TransformerTransformer blocks=nlabels - 1, Number of heads=10, Head dimension=64, Feedforward dimension (SA)=32, MLP units=(32,32), Dropout (SA)=0.1, Dropout (MLP)=0.1, Batch size (NN)=64, Epochs=100, Learning rate=0.001, Computational time=20.79 s2025.12 | 54.4 | 61.9 | 51.7 |