vehicle
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Confidence Calibration | vehicle | Calibration Error0.001 | 44 | |
| Classification | Vehicle | Accuracy84.4 | 30 | |
| Multi-class classification | Vehicle | F1-score83.7 | 20 | |
| Classification | vehicle | Cohen's Kappa0.989 | 16 | |
| Off-policy evaluation for classification error | vehicle | Bias-0.027 | 15 | |
| Classification | vehicle | ROC AUC100 | 14 | |
| Classification | Vehicle 10% | PR AUC95.8 | 12 | |
| Classification | Vehicle | PR AUC98.1 | 12 | |
| Multiclass Classification | vehicle | Weighted F1-score81 | 9 | |
| Multiclass imbalanced classification | vehicle | AUC94.2 | 9 | |
| Multiclass imbalanced classification | vehicle | Accuracy81.8 | 9 | |
| Multiclass Imbalanced Classification | vehicle | G-Mean79.8 | 9 | |
| Tabular Classification | vehicle 54 (test) | Test Error (%)11.1 | 9 | |
| Active Learning | Vehicle | AULC83.3 | 8 | |
| Classification | vehicle 54 | AUROC96.8 | 8 | |
| Evasion attack verification | vehicle 10,000 examples (test) | Speedup19.9 | 8 | |
| Classification | vehicle | Balanced Accuracy83.793 | 8 | |
| Classification | Vehicle (test) | Test Error (%)12.4 | 6 | |
| Classification | Vehicle (UCI) (test) | NLL0.454 | 5 | |
| Binary Imbalanced Classification | vehicle 3 | F1-score94.84 | 4 | |
| Level Set Estimation | Vehicle 124-dimensional | Average Runtime (min)4.9 | 4 | |
| Counterfactual Explanation Generation | vehicle | Validity100 | 4 | |
| Outlier Explanation | vehicle | Avg Run Time (s)0.0064 | 3 | |
| Vehicle Painting Robot Path Planning | Vehicle off-road sport utility vehicle V3 | Objective Value64.5 | 2 | |
| Object Classification | Vehicle dataset | Accuracy (OC)99 | 2 |
Showing 25 of 26 rows