ailerons
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | ailerons | Mean Error0.318 | 24 | |
| Regression | ailerons | NCIW0.175 | 17 | |
| Regression | ailerons | Quantile Loss0 | 11 | |
| Regression | ailerons | PICP97 | 11 | |
| Regression | Ailerons 5-fold CV | RMSE0 | 7 | |
| Regression | ailerons | Interval Score Loss0.0008 | 6 | |
| Quantile Regression | ailerons | NIW0.196 | 5 | |
| Regression | ailerons (test) | MSE0.0037 | 3 | |
| Classification | ailerons noise level 0.8 | Generalization Error0.493 | 3 | |
| Classification | ailerons noise level 0.7 | Average Generalization Error0.491 | 3 | |
| Classification | ailerons noise level 0.6 | Avg Generalization Error49.1 | 3 | |
| Classification | ailerons noise level 0.5 | Avg Generalization Error49.1 | 3 | |
| Classification | ailerons noise level 0.4 | Average Generalization Error49.1 | 3 | |
| Classification | ailerons noise level 0.3 | Avg Generalization Error0.489 | 3 | |
| Classification | ailerons noise level 0.2 | Avg Generalization Error0.49 | 3 | |
| Classification | ailerons noise level 0.1 | Avg Generalization Error0.491 | 3 | |
| Regression | ailerons | NCIW-9.3 | 2 | |
| Model Allocation | AileronsR | AUC75 | 1 |
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