Table 2.
Performance on the internal merged test set.
| Model | Acc. | Macro-F1 | PR-AUC | MCC |
|---|---|---|---|---|
| CNN ensemble baseline | 99.74 | 99.74 | 99.95 | 0.996 |
| ViT ensemble baseline | 99.64 | 99.64 | 99.90 | 0.995 |
| NeuroTrustNet | 99.31 | 99.31 | 99.50 | 0.991 |
| AdaptoVision baseline | 88.04 | 88.15 | 93.10 | 0.843 |
| RapidNet baseline | 90.00 | 90.00 | 94.50 | 0.870 |
Accuracy, Macro-F1, and PR-AUC are reported in %, while MCC is reported in [−1, 1]. Bold values highlight the proposed NeuroTrustNet/AAS configuration.