Classification on Bangalore EEG 4 labels (test)
88.8AccuracyOT 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=5.72 s2025.12 | 88.8 | 100 | 95.3 | 85 | 71.4 | |
| 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=54.16 s2025.12 | 52.5 | 100 | 37.2 | 52.5 | 14.3 |