Classification on ACS-E (synthetic)
80.95Accuracy (%)MLP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MLP(α, β)=(1.0, 2.0)2023.03 | 80.95 | 1.1 | 1.43 | |
| RFR(α, β)=(1.5, 3.0)2023.03 | 80.47 | 0.72 | 0.71 | |
| REG(α, β)=(1.0, 2.0)2023.03 | 80.44 | 0.86 | 1.05 | |
| MLP(α, β)=(1.5, 3.0)2023.03 | 80.42 | 1.14 | 1.1 | |
| REG(α, β)=(3.0, 6.0)2023.03 | 80.36 | 0.7 | 0.68 | |
| MLP(α, β)=(3.0, 6.0)2023.03 | 80.3 | 1.17 | 1.13 | |
| RFR(α, β)=(3.0, 6.0)2023.03 | 80.28 | 0.74 | 0.51 | |
| REG(α, β)=(1.5, 3.0)2023.03 | 80.21 | 0.72 | 0.75 | |
| RFR(α, β)=(1.0, 2.0)2023.03 | 80.08 | 0.71 | 0.06 | |
| FCR(α, β)=(3.0, 6.0)2023.03 | 79.89 | 1.06 | 1.14 | |
| FCR(α, β)=(1.0, 2.0)2023.03 | 79.74 | 0.97 | 1 | |
| ADV(α, β)=(3.0, 6.0)2023.03 | 79.66 | 1.34 | 1.16 | |
| FCR(α, β)=(1.5, 3.0)2023.03 | 79.59 | 1.17 | 1.08 | |
| ADV(α, β)=(1.5, 3.0)2023.03 | 79.58 | 1.07 | 1.26 | |
| ADV(α, β)=(1.0, 2.0)2023.03 | 79.39 | 1.09 | 0.95 |