Binary Classification on fake
Metric: AUROC (higher is better)
Metric: AUROC (higher is better)
| # | Model↕ | AUROC▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Trompt + OpenAI embedding | 0.979 | No | PyTorch Frame: A Modular Framework for Multi-Mod... | 2024-03-31 | Code |
| 2 | LightGBM + OpenAI embedding | 0.966 | No | PyTorch Frame: A Modular Framework for Multi-Mod... | 2024-03-31 | Code |
| 3 | FTTransformer + RoBERTa fintune | 0.96 | No | PyTorch Frame: A Modular Framework for Multi-Mod... | 2024-03-31 | Code |
| 4 | LightGBM + RoBERTa embedding | 0.954 | No | PyTorch Frame: A Modular Framework for Multi-Mod... | 2024-03-31 | Code |
| 5 | FTTransformer + RoBERTa embedding | 0.936 | No | PyTorch Frame: A Modular Framework for Multi-Mod... | 2024-03-31 | Code |
| 6 | ResNet + RoBERTa embedding | 0.934 | No | PyTorch Frame: A Modular Framework for Multi-Mod... | 2024-03-31 | Code |
| 7 | ResNet + OpenAI embedding | 0.923 | No | PyTorch Frame: A Modular Framework for Multi-Mod... | 2024-03-31 | Code |
| 8 | FTTransformer + OpenAI embedding | 0.911 | No | PyTorch Frame: A Modular Framework for Multi-Mod... | 2024-03-31 | Code |