Unsupervised Ensemble Learning on Tree3k
95.67AccuracyL-SML
Evaluation results
| Method | Links | |
|---|---|---|
| L-SML2026.01 | 95.67 | |
| LA2pass2026.01 | 95.6 | |
| DEEM2026.01 | 95.52 | |
| DS2026.01 | 95.29 | |
| iRBM2026.01 | 95.23 | |
| EBCC2026.01 | 94.98 | |
| HLM2026.01 | 94.65 | |
| MV2026.01 | 94.63 | |
| FSquid2026.01 | 94.35 | |
| DNNstoImplementation Variant=stochastic2026.01 | 93.28 | |
| DNNdetImplementation Variant=deterministic2026.01 | 93.1 | |
| BestClfDescription=Reference best individual classifier2026.01 | 87.62 | |
| AvgClfDescription=Average individual classifier accuracy2026.01 | 73.59 |