Table 3.
Performance comparison on the OSASUD dataset using different positional encodings of the Transformer architectures.
| Architecture | AUC | Accuracy | F1 | Sensitivity | Specificity | Precision |
|---|---|---|---|---|---|---|
| Transformer encoder only | 0.8738 | 0.7898 | 0.8092 | 0.7473 | 0.8526 | 0.8822 |
| Transformer encoder with naïve position embeddings | 0.8788 | 0.7969 | 0.8105 | 0.7665 | 0.8366 | 0.8598 |
| Transformer encoder with sinusoidal positional embedding | 0.8799 | 0.7983 | 0.8118 | 0.7678 | 0.8381 | 0.8610 |
| Transformer encoder with Learned Positional Embedding | 0.8890 | 0.7995 | 0.7931 | 0.8285 | 0.7745 | 0.7605 |