Glass

Benchmarks

Task Name	Dataset Name	SOTA Result
Anomaly Detection	Glass	AUC-ROC0.835	25
Multi-class classification	Glass	F1-score91.68	16
Tabular Anomaly Detection	Glass	AUC-ROC0.729	14
Classification	Glass	Log Time (s)0.19	11
Clustering	Glass	ARI0.281	11
Multiclass Classification	glass	Weighted F10.808	9
Multiclass imbalanced classification	glass	AUC0.946	9
Multiclass imbalanced classification	glass	Accuracy81.4	9
Multiclass Imbalanced Classification	glass	G-Mean81.4	9
Counterfactual Explanation	glass	Validity100	8
Outlier Detection	glass (full)	Recall26	7
Classification	gls (Glass) (test)	Test Error Rate33.7	7
Classification	Glass 20% MNAR (test)	Accuracy52.47	5
Classification	Glass MAR imputed (test)	Accuracy58.03	5
Classification	Glass MCAR Imputed (test)	Test Accuracy53.18	5
Tabular Classification	glass (test)	Test Error0.158	5
Similarity-based classification	Glass (test)	Accuracy54.7	4
Counterfactual Proximity	glass	Mean Euclidean Distance0.4	4
Outlier Explanation	glass	Average Run Time (s)0.0012	4
Tabular Classification	glass 41 (test)	Test Error37	4
Binary Classification	glass 2	F1 Score73.7	3
Random Forest Compilation	glass 2	Accuracy (%)83.33	2

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