Glass

Benchmarks

Task Name	Dataset Name	SOTA Result
Confidence Calibration	glass	Calibration Error0.008	44
Anomaly Detection	Glass	AUC-ROC0.9109	42
Classification	Glass	Accuracy79.1	32
Anomaly Detection	Glass	AUC-PR49.34	17
Multi-class classification	Glass	F1-score91.68	16
Off-policy evaluation for classification error	glass	Bias-0.317	15
Tabular Anomaly Detection	Glass	AUC-ROC0.729	14
Clustering	Glass	ARI0.281	11
Anomaly Detection	glass Out-of-Domain	F1 Score40	10
Binary Classification	glass	Accuracy94.39	10
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
Data Synthesis	glass2	MMD0.063	8
Hierarchical Classification	Glass	LE1.007	8
Active Learning	Glass	AULC48.9	8
Classification	Glass	ROC AUC0.936	8
Tabular Classification	Glass	Cohen's Kappa0.637	8
Counterfactual Explanation	glass	Validity100	8
Outlier Detection	glass (full)	Recall26	7
Classification	gls (Glass) (test)	Test Error Rate33.7	7
Manifold Learning	Glass	(TW + CN)/20.9574	5
Multi-Class Classification	Glass (test)	Macro F1 Score66.3	5
Classification	Glass	Accuracy (Avg)68.06	5

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