| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Scenario 3 n=10000 | ConquerNet | MSE (tau=0.05)0.6307 | 16 | 26d ago | |
| Scenario 3 n=5000 | ConquerNet | MSE (τ=0.05)0.8839 | 16 | 26d ago | |
| Scenario 3 n=1000 | ConquerNet | MSE (τ=0.05)1.9425 | 16 | 26d ago | |
| Scenario 2 n=10000 | ConquerNet | MSE (τ=0.05)0.1008 | 16 | 26d ago | |
| Scenario 2 (n=5000) | ConquerNet | MSE (τ=0.05)0.143 | 16 | 26d ago | |
| Scenario 2 n=1000 | ConquerNet | MSE (τ=0.05)0.4515 | 16 | 26d ago | |
| Scenario 1 n=10000 | MSE (τ=0.05)0.0618 | 16 | 26d ago | ||
| Scenario 1 (n=5000) | MSE (Quantile 0.05)0.0996 | 16 | 26d ago | ||
| Scenario 1 n=1000 | MSE (τ=0.05)0.3316 | 16 | 26d ago | ||
| Synthetic Gaussian noise, n=300, m=25, d=500, alpha=0.2 (test) | Error0.1746 | 11 | 20d ago | ||
| 122 benchmark datasets | SQR | Normalized Quantile Loss0.015 | 10 | 1mo ago | |
| Scenario 1 | ConquerNet | MAE (τ=0.05)0.1678 | 8 | 26d ago | |
| StackSample (test) | QT | Avg MAPE82.67 | 6 | 1mo ago | |
| Energy Efficiency | CLEAR | NIW0.085 | 5 | 3mo ago | |
| elevator | SQR | NIW0.114 | 5 | 3mo ago | |
| concrete | CLEAR | NIW0.264 | 5 | 3mo ago | |
| computer | CLEAR | NIW0.087 | 5 | 3mo ago | |
| ailerons | SQR | NIW0.196 | 5 | 3mo ago | |
| Scenario 2 | ConquerNet | MAE (τ=0.05)0.2112 | 3 | 26d ago | |
| Stock Performance | Quantile DL8.5 | NLL-1.04 | 3 | 1mo ago | |
| Solar Flares | NLL-0.972 | 3 | 1mo ago | ||
| Air Quality | Quantile DL8.5 | NLL1.46 | 3 | 1mo ago | |
| Synthetic dataset | Quantile DL8.5 | MISE0.12 | 3 | 1mo ago | |
| Scenario 3 | ConquerNet | MAE (τ=0.05)0.3422 | 2 | 26d ago |
