pima

Benchmarks

Task Name	Dataset Name	SOTA Result
Tabular Anomaly Detection	Pima	AUC ROC0.7818	86
Classification	pima	Accuracy78.6	52
Anomaly Detection	Pima	F1 Score0.7118	28
Binary Classification	pima	F1-score96.15	27
Classification	Pima	AUC0.823	26
Clustering	Pima	ARI0.08	20
Classification	Pima	Accuracy75.55	18
Outlier Detection	Pima ADBench	AUROC72.53	17
Anomaly Detection	pima	AUC-PR77.63	16
Execution time measurement	Pima 50% MNAR	Training Time (s)0.147	15
Classification	pima 25% feature noise	Accuracy77.5	14
Classification	pima	F1-score84.3	14
Outlier Detection	Pima (Group I)	AUROC72.53	14
Binary Classification	pima 25% label noise	Mean F1-score0.838	14
Binary Classification	pima 25% feature noise	F1 Score83.9	14
Classification	Pima 20%	PR AUC0.527	12
Classification	Pima	PR AUC71.3	12
Imbalanced Classification	Pima (test)	Macro F176.31	12
Classification	Pima	Recall77.03	12
Anomaly Detection	PIMA ODDS	AUC72.2	12
Classification	Pima	Precision76.73	11
Outlier Detection	Pima	AP53.57	11
Classification	Pima UCI (5-fold cross-validated)	Accuracy73.81	10
Anomaly Detection	pima In-Domain	F1 Score69.1	10
Outlier Detection	Pima	Precision-s54.85	9

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