Multiple Instance Learning classification on TCGA
90.7AUROCABMIL
Evaluation results
| Method | Links | |
|---|---|---|
| ABMIL2026.06 | 90.7 | |
| Joint2026.06 | 88.8 | |
| Mixed2026.06 | 88.3 | |
| SVM-Summ2026.06 | 88.2 | |
| ICMIL2026.06 | 87.9 | |
| MeanLogReg2026.06 | 87.1 | |
| Fact. (cont, MLP)2026.06 | 86.9 | |
| Fact. (disc, lookup)2026.06 | 86.9 | |
| Fact. (cont, tree)2026.06 | 86.2 | |
| Fact. (disc, MLP)2026.06 | 82.3 | |
| TabPFN-Subsample2026.06 | 78.2 | |
| TabPFN-Concat2026.06 | 78 | |
| TabPFN-Cluster2026.06 | 77.1 | |
| Fact. (disc, tree)2026.06 | 45.8 |