Classification on RAFT HELM
0.8975Balanced AccuracyMACE
Evaluation results
| Method | Links | |
|---|---|---|
| MACE2026.02 | 0.8975 | |
| Dawid-Skene2026.02 | 0.8962 | |
| LAA2026.02 | 0.8956 | |
| S-StackingNetMode=Supervised2026.02 | 0.8918 | |
| Logistic RegressionMode=Supervised2026.02 | 0.8911 | |
| SML2026.02 | 0.8905 | |
| Base-Best2026.02 | 0.8858 | |
| EBCC2026.02 | 0.8856 | |
| U-StackingNetMode=Unsupervised2026.02 | 0.8833 | |
| WAwA2026.02 | 0.881 | |
| Voting2026.02 | 0.8806 | |
| GLAD2026.02 | 0.873 | |
| ZenCrowd2026.02 | 0.873 | |
| M-MSR2026.02 | 0.8717 | |
| KOS2026.02 | 0.8717 | |
| LA2026.02 | 0.8717 | |
| PM2026.02 | 0.8713 | |
| Base-Worst2026.02 | 0.7677 |