Glass

Benchmarks

Task Name	Dataset Name	SOTA Result
Classification	Glass LDLSS	Accuracy81.32	46
Confidence Calibration	glass	Calibration Error0.008	44
Anomaly Detection	Glass	AUC-ROC0.9109	42
Anomaly Detection	Glass	AUC-PR57.5	33
Classification	Glass	Accuracy79.1	32
Tabular Anomaly Detection	Glass	AUC-ROC0.8074	30
Clustering	Glass	NMI0.477	27
Counterfactual Explanation	glass	Validity100	24
Multi-class classification	Glass	F1-score91.68	16
Off-policy evaluation for classification error	glass	Bias-0.317	15
Counterfactual Explanation Diversity	glass	Diversity5.4	14
Counterfactual Proximity	glass	Mean Euclidean Distance0.4	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
Clustering	Glass (UCI)	ARI29.37	8
Multiclass Classification	Glass	Average Accuracy65.96	8
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

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