Multi-instance Learning Classification on FOX classical MIL (10-fold cross-val)
0.747AccuracyTR-RGMIL
Evaluation results
| Method | Links | |
|---|---|---|
| TR-RGMILEvaluation Protocol=10-fold CV, Runs=5 runs2026.05 | 0.747 | |
| ConveyanceEvaluation Protocol=10-fold CV, Runs=5 runs, Design=default parameters and no MIL-specific design choices2026.05 | 0.738 | |
| PSMILEvaluation Protocol=10-fold CV, Runs=5 runs2026.05 | 0.734 | |
| DSMILEvaluation Protocol=10-fold CV, Runs=5 runs2026.05 | 0.729 | |
| RGMILEvaluation Protocol=10-fold CV, Runs=5 runs2026.05 | 0.714 | |
| DPMILEvaluation Protocol=10-fold CV, Runs=5 runs2026.05 | 0.655 | |
| BDRMILEvaluation Protocol=10-fold CV, Runs=5 runs2026.05 | 0.629 | |
| ABMILEvaluation Protocol=10-fold CV, Runs=5 runs2026.05 | 0.615 | |
| Gated-ABMILEvaluation Protocol=10-fold CV, Runs=5 runs2026.05 | 0.603 |