Obesity

Benchmarks

Task Name	Dataset Name	SOTA Result
Few-Shot Class Incremental Learning	Obesity	PD26.13	16
Classification	Obesity	Accuracy71.13	11
Influence Maximization	Obesity Synthetic (test)	Disparity Fairness0.0043	9
Influence Maximization	Obesity Synthetic	Outreach11.82	9
Classification	Obesity	F1-score98	8
Downstream ML Utility	Obesity	F1-score92.9	8
Tabular Synthetic Data Generation	Obesity	KS Statistic0.023	8
Multi-class Classification	Obesity	Accuracy66.5	8
Tabular Data Generation	Obesity	Peak GPU Memory Usage (GB)2.4	7
Tabular Data Synthesis	Obesity	F1 Score98	7
Classification	Obesity-Bin	Accuracy100	6
Mixed-type tabular clustering	Obesity	ARI0.222	6
SHAP value computation	Obesity (test)	Median Runtime (s)4	4
SHAP value calculation	Obesity	Median Runtime (s)4	4
Causal Discovery	Obesity	Precision0.67	4
Clinical Validity Assessment	Obesity	Factuality98	2
Privacy Risk Evaluation	Obesity	B-B AUC0.67	2
Tabular Data Synthesis	Obesity	SDMetrics Quality Score88	2
Probability Calibration	Obesity dataset (Xt)	ECE (sqrt(n) bins)0.16	1

Showing 19 of 19 rows