vehicle

Benchmarks

Task Name	Dataset Name	SOTA Result
Multi-class classification	Vehicle	F1-score83.7	20
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
Classification	Vehicle	Accuracy81.76	8
Classification	vehicle	Cohen's Kappa0.9	8
Evasion attack verification	vehicle 10,000 examples (test)	Speedup19.9	8
Classification	vehicle	Balanced Accuracy83.793	8
Classification	vehicle	ROC AUC95.2	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
Object Tracking	Vehicle dataset	OT Accuracy82	1

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