Binary Classification on MNIST 1vsAll (test)
100AccuracyDropConnect
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DropConnectProtocol=one-vs-all2026.06 | 100 | 1 | 0 | |
| LikelihoodProtocol=one-vs-all2026.06 | 100 | 1 | 14 | |
| EK-NNProtocol=one-vs-all2026.06 | 100 | 3 | 4 | |
| Random ForestProtocol=one-vs-all2026.06 | 100 | 2 | 1 | |
| MC-DropoutProtocol=one-vs-all2026.06 | 100 | 1 | 0 | |
| Deep EnsembleProtocol=one-vs-all2026.06 | 100 | 1 | 0 | |
| Bayesian DeepProtocol=one-vs-all2026.06 | 100 | 1 | 0 | |
| Bayesian Log. Reg.Protocol=one-vs-all2026.06 | 99 | 1 | 0 | |
| CentroidsProtocol=one-vs-all2026.06 | 95 | 36 | 9 |