Dosing error prediction on CT-DEB'26 (Stratified k-fold (k=5))
0.853ROC-AUCText-Tower Neural Network
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Text-Tower Neural NetworkValidation Fold=Fold 32026.06 | 0.853 | 56.8 | 15.1 | 70.1 | 75.6 | |
| Text-Tower Neural NetworkValidation Fold=Fold 52026.06 | 0.834 | 57.1 | 15 | 61.2 | 72.3 | |
| Text-Tower Neural NetworkAggregation=Mean ± Std2026.06 | 0.831 | 57.3 | 15.3 | 61.3 | 72.5 | |
| Text-Tower Neural NetworkValidation Fold=Fold 42026.06 | 0.827 | 59.4 | 17.5 | 54.9 | 71.2 | |
| Text-Tower Neural NetworkValidation Fold=Fold 22026.06 | 0.825 | 56.8 | 14.6 | 56.3 | 70.2 | |
| Text-Tower Neural NetworkValidation Fold=Fold 12026.06 | 0.816 | 56.4 | 14.5 | 63.9 | 72.9 |