Spambase

Benchmarks

Task Name	Dataset Name	SOTA Result
LF Mislabeling Identification	Spambase	AP92.7	32
End model evaluation	Spambase	Test Loss0.258	22
Outlier Detection	SpamBase ADBench	AUROC66.2	17
Classification	spambase	Accuracy93.5	15
Outlier Detection	SpamBase (Group I)	AUROC66.2	14
Classification	Spambase (test)	Test Loss0.283	13
Outlier Detection	SpamBase	AUC0.9021	11
Outlier Detection	SpamBase	AP86.31	11
Anomaly Detection	SpamBase	AUPRC89.24	10
Anomaly Detection	SpamBase Out-of-Domain	F1 Score81.8	10
Spam Classification	Spambase 0% missingness (test)	AUC98.73	10
Hierarchical Clustering	Spambase	Dasgupta's Cost34,261,369.825	10
Hierarchical Clustering	Spambase	DP75.5	10
Classification	Spambase	F1 Score93.92	9
CASH	spambase (test)	Test Error0.0591	9
Private Decision Tree Evaluation	spambase	Online Running Time31.2	8
Classification	Spambase (5-fold cross-val)	Accuracy92.23	7
Abductive Explanation Generation	Spambase (test)	Average Execution Time (ms)2.92	6
Mixture Proportion Estimation	UCI spambase (test)	Absolute Error0.006	6
PvN classification	UCI Spambase (test)	Accuracy89.4	6
Active Learning Classification	Spambase	F1 Score78.5	5
Decision Tree Evaluation	spambase	Overall Latency (s)19,700	4
Binary Classification	Spambase (test)	Macro F1 Score91.7	4
Abductive Explanation Generation	Spambase Rejected	Avg Explanation Size48.89	3
Abductive Explanation Generation	Spambase	Avg Explanation Size1.24	3

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