Classification on ADULT (Empirical Risk, Test Risk)
0.164Empirical Risk (Rs(h))Alg. 1
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Alg. 1model=Neural Network, epsilon (ε)=1/m, K=0.2√m2023.06 | 0.164 | 0.164 | |
| Alg. 1Model=Neural Network, Learning mode=Batch, epsilon=1/m2023.06 | 0.164 | 0.164 | |
| ERMmodel=Neural Network2023.06 | 0.165 | 0.163 | |
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/m, K=0.2√m2023.06 | 0.165 | 0.166 | |
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/√m, K=0.2√m2023.06 | 0.165 | 0.167 | |
| ERMModel=Neural Network, Learning mode=Batch2023.06 | 0.165 | 0.163 | |
| Alg. 1model=Neural Network, epsilon (ε)=1/√m, K=0.2√m2023.06 | 0.166 | 0.165 | |
| ERMModel Type=Linear, Learning Setting=Batch2023.06 | 0.166 | 0.167 | |
| Alg. 1Model=Neural Network, Learning mode=Batch, epsilon=1/sqrt(m)2023.06 | 0.166 | 0.165 | |
| Alg. 2Model architecture=Linear model, Learning protocol=Online learning2023.06 | 0.23 | 0.236 | |
| OGDModel architecture=Linear model, Learning protocol=Online learning2023.06 | 0.248 | 0.248 |