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Tabular Datasets

Benchmarks

Task Name	Dataset Name	SOTA Result
Tabular Regression	52 Tabular Datasets (test)	NMAE0.139	85
Tabular Classification	253 Tabular Datasets	Accuracy77.6	54
Tabular Classification	253 Tabular Datasets Average across all shift strengths	Accuracy79.2	28
Tabular Classification	253 Tabular Datasets Shift strength β=5.0	Accuracy77.6	28
Tabular Classification	253 tabular datasets Shift strength β=2.0	Accuracy78.9	28
Tabular Classification	253 tabular datasets Shift strength β=1.0	Accuracy79.6	28
Tabular Classification	253 Tabular Datasets Shift strength β=0.1	Accuracy79.8	28
Tabular Classification	253 tabular datasets Shift strength β=0.0	Accuracy79.9	28
Tabular Classification	253 tabular datasets w/o shift	Accuracy81.8	28
Calibration	Tabular datasets	NLL0.2983	21
Simulatability	Tabular Datasets Aggregate (test)	Accuracy (w/o explanation)74.63	18
Tabular Classification	10 Tabular Datasets Missing rate > 10% MNAR (cross-method intersection)	AUC81.72	15
Anomaly Detection	34 Tabular Datasets average (test)	AUC-PR (Baseline)0.729	14
Synthetic Tabular Data Generation Evaluation	11 Tabular Datasets Average (test)	RMSE0.086	10
Synthetic Tabular Data Generation	11 Tabular Datasets Average Rank (test)	RMSE2.6	10
Tabular Classification	Tabular Datasets All-shot	AP83.3	9
Tabular Classification	Tabular Datasets 512-shot	AP83.5	9
Tabular Classification	Tabular Datasets 256-shot	AP82.2	9
Tabular Classification	Tabular Datasets 128-shot	AP79.7	9
Tabular Classification	Tabular Datasets 64-shot	AP77	9
Tabular Classification	Tabular Datasets 32-shot	AP72.8	9
Tabular Classification	Tabular Datasets 16-shot	AP68.5	9
Tabular Classification	Tabular Datasets 8-shot	AP0.641	9
Tabular Classification	Tabular Datasets 4-shot	AP62.4	9
Association Rule Mining	Larger Tabular Datasets	Accuracy88.13	9

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