Classification on Diabetes (F1 score)
86.6F1 ScorekNNPFN
Evaluation Results
| Method | Links | |
|---|---|---|
| kNNPFNModel Category=Tabular In-Context Learning Models, AWARE=false2026.04 | 86.6 | |
| CatBModel Category=Classical and Ensemble Models, AWARE=false2026.04 | 86.5 | |
| XGBModel Category=Classical and Ensemble Models, AWARE=false2026.04 | 86.3 | |
| MNCAModel Category=Deep Tabular Models, AWARE=false2026.04 | 86.3 | |
| ExcelFModel Category=Deep Tabular Models, AWARE=false2026.04 | 86.2 | |
| TabDPTModel Category=Tabular In-Context Learning Models, AWARE=false2026.04 | 86.2 | |
| LightGModel Category=Classical and Ensemble Models, AWARE=false2026.04 | 86 | |
| TabMModel Category=Deep Tabular Models, AWARE=false2026.04 | 86 | |
| TabNetModel Category=Deep Tabular Models, AWARE=false2026.04 | 85.9 | |
| TromptModel Category=Deep Tabular Models, AWARE=false2026.04 | 85.9 | |
| ResNetModel Category=Deep Tabular Models, AWARE=false2026.04 | 85.7 | |
| MLPModel Category=Classical and Ensemble Models, AWARE=false2026.04 | 85.6 | |
| LRModel Category=Classical and Ensemble Models, AWARE=false2026.04 | 85 | |
| TabDPTModel Category=Ours (Tabular In-Context Learning Models + AWARE), AWARE=true2026.04 | 84.9 | |
| kNNPFNModel Category=Ours (Tabular In-Context Learning Models + AWARE), AWARE=true2026.04 | 84.6 | |
| TabPFNModel Category=Tabular In-Context Learning Models, AWARE=false2026.04 | 84.2 | |
| KNNModel Category=Classical and Ensemble Models, AWARE=false2026.04 | 83.7 | |
| TabTModel Category=Deep Tabular Models, AWARE=false2026.04 | 81.7 | |
| KNNModel Category=Ours (Tabular In-Context Learning Models + AWARE), AWARE=true2026.04 | 72.2 | |
| BAEN-SVMKernel=linear, Noise level=25%, Noise type=label noise2026.04 | 0.721 | |
| BQ-SVMKernel=linear, Noise level=25%, Noise type=label noise2026.04 | 0.719 | |
| BAEN-SVMkernel=linear, noise=25% feature noise2026.04 | 0.69 | |
| ε-BAEN-SVMKernel=linear, Noise level=25%, Noise type=label noise2026.04 | 0.686 | |
| ε-BAEN SVMkernel=linear, noise=25% feature noise2026.04 | 0.685 | |
| BALS-SVMKernel=linear, Noise level=25%, Noise type=label noise2026.04 | 0.684 | |
| BQ-SVMkernel=linear, noise=25% feature noise2026.04 | 0.678 | |
| BALS-SVMkernel=linear, noise=25% feature noise2026.04 | 0.675 | |
| EN-SVMkernel=linear, noise=25% feature noise2026.04 | 0.665 | |
| Pin-SVMKernel=linear, Noise level=25%, Noise type=label noise2026.04 | 0.663 | |
| EN-SVMKernel=linear, Noise level=25%, Noise type=label noise2026.04 | 0.66 | |
| Pin-SVMkernel=linear, noise=25% feature noise2026.04 | 0.659 | |
| ALS-SVMKernel=linear, Noise level=25%, Noise type=label noise2026.04 | 0.653 | |
| ALS-SVMkernel=linear, noise=25% feature noise2026.04 | 0.635 |