Classification on YEAST
47Empirical Risk Rs(h)ERM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ERMModel Type=Linear, Learning Setting=Batch2023.06 | 47 | — | — | — | — | 42.7 | |
| Alg. 1Model=Neural Network, Learning mode=Batch, epsilon=1/sqrt(m)2023.06 | 48.7 | — | — | — | — | 47.8 | |
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/√m, K=0.2√m2023.06 | 52.4 | — | — | — | — | 50.4 | |
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/m, K=0.2√m2023.06 | 52.7 | — | — | — | — | 49.7 | |
| ERMModel=Neural Network, Learning mode=Batch2023.06 | 64.4 | — | — | — | — | 68.2 | |
| Alg. 1Model=Neural Network, Learning mode=Batch, epsilon=1/m2023.06 | 67.9 | — | — | — | — | 66.6 | |
| Alg. 1model=Neural Network, epsilon (ε)=1/m, K=0.2√m2023.06 | — | 67.9 | 66.6 | — | — | — | |
| Alg. 1model=Neural Network, epsilon (ε)=1/√m, K=0.2√m2023.06 | — | 48.7 | 47.8 | — | — | — | |
| Alg. 2Model architecture=Linear model, Learning protocol=Online learning2023.06 | — | — | — | 69.9 | 71.3 | — | |
| ERMmodel=Neural Network2023.06 | — | 64.4 | 68.2 | — | — | — | |
| OGDModel architecture=Linear model, Learning protocol=Online learning2023.06 | — | — | — | 66.7 | 70.8 | — |