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Spambase

Benchmarks

Task NameDataset NameSOTA ResultTrend
Class Prior EstimationSpambase
Estimation Error0.014
36
LF Mislabeling IdentificationSpambase
AP92.7
32
Classificationspambase
Accuracy95
28
End model evaluationSpambase
Test Loss0.258
22
Outlier DetectionSpamBase ADBench
AUROC66.2
17
Outlier DetectionSpamBase (Group I)
AUROC66.2
14
Model Compressionspambase
Performance Score95.1
13
Model Compressionspambase
Accuracy / R2 Score95
13
RF compressionspambase
Performance94.9
13
ClassificationSpambase (test)
Test Loss0.283
13
Outlier DetectionSpamBase
AUC0.9021
11
Outlier DetectionSpamBase
AP86.31
11
Anomaly DetectionSpamBase
AUPRC89.24
10
Anomaly DetectionSpamBase Out-of-Domain
F1 Score81.8
10
Spam ClassificationSpambase 0% missingness (test)
AUC98.73
10
Hierarchical ClusteringSpambase
Dasgupta's Cost34,261,369.825
10
Hierarchical ClusteringSpambase
DP75.5
10
Classificationspambase (UCI)
Accuracy91.1
9
ClassificationSpambase
F1 Score93.92
9
CASHspambase (test)
Test Error0.0591
9
Private Decision Tree Evaluationspambase
Online Running Time31.2
8
Pruning Boosted Tree EnsemblesSpambase
Pruning Rate48.7
7
ClassificationSpambase (5-fold cross-val)
Accuracy92.23
7
Abductive Explanation GenerationSpambase (test)
Average Execution Time (ms)2.92
6
Mixture Proportion EstimationUCI spambase (test)
Absolute Error0.006
6
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