Reading goal decoding on OneStop Eye Movements New Participant (val)
93.2AccuracyLogistic Ensemble
Evaluation results
| Method | Links | |
|---|---|---|
| Logistic Ensemble2024.10 | 93.2 | |
| ROBERTa-Eye-FGaze Representation=Fixations, Text Representation=Emb+LF2024.10 | 91.9 | |
| PostFusion-EyeGaze Representation=Fixations, Text Representation=Emb+LF2024.10 | 91.3 | |
| ViTGaze Representation=Image of Scanpath2024.10 | 65.8 | |
| ConvNext v2Gaze Representation=Image of Scanpath2024.10 | 65.3 | |
| BEyeLSTMGaze Representation=Fixations, Text Representation=LF2024.10 | 65 | |
| BEyeLSTM - No TextGaze Representation=Fixations2024.10 | 64.9 | |
| ROBERTa-Eye-WGaze Representation=Words, Text Representation=Emb+LF2024.10 | 64.9 | |
| Haller RNNGaze Representation=Fixations, Text Representation=Emb2024.10 | 62.9 | |
| PLM-ASGaze Representation=Fixations Order, Text Representation=Emb2024.10 | 61.1 | |
| Log. RegressionGaze Representation=Global2024.10 | 60.6 | |
| Reading Time2024.10 | 58.9 | |
| EyettentionGaze Representation=Fixations, Text Representation=Emb+LF2024.10 | 56.6 | |
| MAG-EyeGaze Representation=Words, Text Representation=Emb+LF2024.10 | 53.5 | |
| Majority Class / Chance2024.10 | 50 |