| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Scenario 2 Model A | ConquerNet | MSE (τ=0.05)0.0377 | 8 | 26d ago | |
| Scenario 1 Model A | MSE (τ=0.05)0.0305 | 8 | 26d ago | ||
| Scenario 3 Model B (n=10000) | ConquerNet | MSE ($ au=0.05$)0.1916 | 4 | 26d ago | |
| Scenario 3 Model B (n=5000) | MSE (τ=0.05)0.2942 | 4 | 26d ago | ||
| Scenario 3 Model B (n=1000) | MSE (τ=0.05)0.6933 | 4 | 26d ago | ||
| Scenario 3 Model A (n=10000) | ConquerNet | MSE (τ=0.05)0.2297 | 4 | 26d ago | |
| Scenario 3 Model A (n=5000) | ConquerNet | MSE (τ=0.05)0.3208 | 4 | 26d ago | |
| Scenario 3 Model A | ConquerNet | MSE (τ=0.05)0.8659 | 4 | 26d ago | |
| Scenario 2 Model B (n=10000) | ConquerNet | MSE (τ=0.05)0.0466 | 4 | 26d ago | |
| Scenario 2 Model B (n=5000) | MSE (τ=0.05)0.0645 | 4 | 26d ago | ||
| Scenario 2 Model B (n=1000) | MSE (τ=0.05)0.1358 | 4 | 26d ago | ||
| Scenario 2 Model A (n=1000) | ConquerNet | MSE (τ=0.05)0.1669 | 4 | 26d ago | |
| Scenario 1 Model B | MSE (τ=0.05)0.0547 | 4 | 26d ago | ||
| Scenario 1 Model B (n=5000) | MSE (τ=0.05)0.0767 | 4 | 26d ago | ||
| Scenario 1 Model B (n=1000) | MSE (τ=0.05)0.1911 | 4 | 26d ago | ||
| Scenario 1 Model A (n=5000) | ConquerNet | MSE (τ=0.05)0.0471 | 4 | 26d ago |
