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ionosphere

Benchmarks

Task NameDataset NameSOTA ResultTrend
Tabular Anomaly DetectionIonosphere
AUC-ROC99.21
50
ClassificationIonosphere
PR AUC97.5
24
Outlier DetectionIonosphere
AP90.4
22
Anomaly DetectionIonosphere
AUC-ROC99.86
17
Anomaly DetectionIonosphere
AUC-PR98.95
17
ClassificationIonosphere UCIrvine (5-fold cross-validation)
Macro F1 Score97.14
17
ClassificationIonosphere 20%
PR AUC97.2
12
Classificationionosphere (test)
Loss0.2648
11
ClassificationIonosphere
Log Time (s)0.31
11
Outlier DetectionIonosphere
AUC0.915
11
Anomaly Detectionionosphere Out-of-Domain
F1 Score93.49
10
ClassificationIonosphere
Avg. Accuracy0.942
10
Classificationionosphere
Average Test Accuracy94
10
Outlier DetectionIonosphere
Precision-s84.79
9
Continual ClusteringIonosphere
AI NMI62.4
9
ClassificationIonosphere UCIrvine
Macro F197.6
9
Classificationionosphere
Improvement in Balanced Accuracy0.015
8
Data Synthesisionosphere
MMD0.08
8
Active LearningIonosphere
AULC81
8
ClassificationIonosphere
ROC AUC98.7
8
Tabular ClassificationIonosphere
Cohen's Kappa0.888
8
ClassificationIonosphere
F1-Macro98.5
8
Counterfactual Explanationionosphere
Validity1
8
Bayesian logistic regressionIonosphere (d=61)
Avg Posterior Log-Likelihood-205.49
7
Outlier Detectionionosphere (full)
Recall49.83
7
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