CVRM prediction on Medical consultation texts and anthropometric measures
92.48F1 ScoreH-transformer1D
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| H-transformer1DPooling strategy=Classification Token Pooling, Input features=consult texts and anthropometric measures2026.03 | 92.48 | 92.48 | 92.48 | 0.758 | |
| H-transformer1DPooling strategy=Average Pooling, Input features=consult texts and anthropometric measures2026.03 | 91.02 | 91.02 | 91.02 | 0.73 | |
| Linear SVMKernel type=Linear Kernel, Input features=consult texts and anthropometric measures2026.03 | 86.3 | 82.97 | 92.87 | 0.752 | |
| ResNet1DInput features=consult texts and anthropometric measures2026.03 | 85.48 | 85.48 | 85.48 | 0.565 | |
| Dummy ClassifierInput features=consult texts and anthropometric measures2026.03 | 50.76 | 50.75 | 50.78 | 0.015 |