Multiple Instance Learning Classification on MUSK2
97AccuracyTG-RGMIL [0]D
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TG-RGMIL [0]DTopological features=0D2023.07 | 97 | — | |
| PSMIL2026.03 | 96.8 | — | |
| ASMIL2026.03 | 96.8 | — | |
| TG-RGMIL [0,1]DTopological features=0D, 1D2023.07 | 96.7 | — | |
| RGMIL2026.03 | 96.3 | — | |
| TG-RGMIL [0,1,2]DTopological features=0D, 1D, 2D2023.07 | 96.2 | — | |
| DEMIL2026.03 | 96.1 | — | |
| GAPMILwD (2025)Reference Year=20252023.07 | 95.8 | — | |
| APMILwD (2025)Reference Year=20252023.07 | 95.4 | — | |
| DSMIL2026.03 | 95.2 | — | |
| DistNet (2023)Reference Year=20232023.07 | 93.2 | — | |
| Bagging-APR2016.10 | 93.1 | — | |
| DSMIL (2021)Reference Year=20212023.07 | 93 | — | |
| ABMIL2026.03 | 92.8 | — | |
| DPMIL (2018)Reference Year=20182023.07 | 92.6 | — | |
| RGMIL (2023)Reference Year=20232023.07 | 92 | — | |
| DD-SVM2016.10 | 91.3 | — | |
| MI-ANFIS2016.10 | 90.58 | — | |
| BDRMIL (2022)Reference Year=20222023.07 | 90.5 | — | |
| miGraph2016.10 | 90.3 | — | |
| RBF-MIP2016.10 | 90.1 | — | |
| MIGraph2016.10 | 90 | — | |
| MI-kernel2016.10 | 89.3 | — | |
| GNNMIL (2019)Reference Year=20192023.07 | 89.2 | — | |
| APR2016.10 | 89.2 | — | |
| TransMIL2026.03 | 87.7 | — | |
| MILES2016.10 | 87.7 | — | |
| RBF-Bag-Unit2016.10 | 86.6 | — | |
| GAPMIL (2018)Reference Year=20182023.07 | 86.3 | — | |
| Citation-KNN2016.10 | 86.3 | — | |
| ALP-SVM2016.10 | 86.2 | — | |
| APMIL (2018)Reference Year=20182023.07 | 85.8 | — | |
| EM-DD2016.10 | 84.9 | — | |
| MI-SVM2016.10 | 84.3 | — | |
| mi-SVM2016.10 | 83.6 | — | |
| DD2016.10 | 82.5 | — | |
| MI-NN2016.10 | 82 | — | |
| MIForest2016.10 | 82 | — | |
| ABMIL2024.08 | 81.2 | 81.6 | |
| PPPM-kernel2016.10 | 81.2 | — | |
| BP-MIP2016.10 | 80.4 | — | |
| Snuffy2024.08 | 78.9 | 98.5 | |
| ABMIL-Gated2024.08 | 78 | 78.4 | |
| Mean-pooling2024.08 | 71 | 85.5 | |
| DSMIL2024.08 | 70.6 | 81.3 | |
| Max-pooling2024.08 | 67.6 | 75.6 | |
| ABMIL2026.06 | — | 75.4 | |
| Fact. (cont, MLP)2026.06 | — | 85.4 | |
| Fact. (cont, tree)2026.06 | — | 82.5 | |
| Fact. (disc, lookup)2026.06 | — | 75.2 | |
| Fact. (disc, MLP)2026.06 | — | 75.3 | |
| Fact. (disc, tree)2026.06 | — | 50.4 | |
| ICMIL2026.06 | — | 90.8 | |
| Joint2026.06 | — | 83.2 | |
| MeanLogReg2026.06 | — | 82.1 | |
| Mixed2026.06 | — | 87.6 | |
| SVM-Summ2026.06 | — | 81.3 | |
| TabPFN-Cluster2026.06 | — | 91.3 | |
| TabPFN-Concat2026.06 | — | 79.3 | |
| TabPFN-Subsample2026.06 | — | 78.6 |