ionosphere

Benchmarks

Task Name	Dataset Name	SOTA Result
Tabular Anomaly Detection	Ionosphere	AUC-ROC99.21	50
Outlier Detection	Ionosphere	AP90.4	22
Classification	Ionosphere UCIrvine (5-fold cross-validation)	Macro F1 Score97.14	17
Classification	ionosphere (test)	Loss0.2648	11
Classification	Ionosphere	Log Time (s)0.31	11
Outlier Detection	Ionosphere	AUC0.915	11
Classification	ionosphere	Average Test Accuracy94	10
Continual Clustering	Ionosphere	AI NMI62.4	9
Classification	Ionosphere UCIrvine	Macro F197.6	9
Counterfactual Explanation	ionosphere	Validity1	8
Bayesian logistic regression	Ionosphere (d=61)	Avg Posterior Log-Likelihood-205.49	7
Outlier Detection	ionosphere (full)	Recall49.83	7
Bayesian logistic regression	Ionosphere d = 35 (test)	Predictive Likelihood-83.92	7
Outlier detection	Ionosphere	AUC-ROC0.959	7
Classification	ionosphere	Accuracy94.6	7
Bayesian Inference	Ionosphere 35D	ELBO-86.68	6
Classification	IonosphereEW	Accuracy97.2	6
Classification	ionosphere	Avg Latency (s)0.008	6
Active Learning Classification	Ionosphere	F1 Score77.3	5
Classification	Ionosphere	F1 Score77.8	5
Classification	Ionosphere (10-fold CV)	P-Value0.481	5
Classification	Ionosphere (UCI) (test)	NLL0.344	5
Counterfactual Proximity	ionosphere	Mean Euclidean Distance0.2	4
Outlier Explanation	ionosphere	Average Runtime (s)0.0038	4
Classification	ionosphere	Rule Count24.7	4

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