Classification on Bangalore EEG 3 labels (test)
98.3AccuracyOT 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=5.01 s2025.12 | 98.3 | 100 | 100 | 95.1 | |
| 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=29.84 s2025.12 | 78.3 | 100 | 97.5 | 39 |