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Papers Benchmarks Datasets Tasks

Diabetes dataset and benchmarks – Page 3 · SOTA2 Research

Research Datasets

Diabetes

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Correlation Estimation

Diabetes

3.95Error Rate (%)

9

Column-wise density estimation

Diabetes

1.73Error Rate

9

Tabular Data Generation

Diabetes

0.997DCR

9

Tabular Data Generation

Diabetes

45.14Beta Recall

9

Tabular Data Generation

Diabetes

99.53alpha-PRECISION

9

Tabular Data Generation

Diabetes

99.84NMIS

9

Tabular Data Generation

Diabetes

14.185DCR-002 Score

9

DIABETES subsampled to 300 (train)

0.99R500

9

Conformal Prediction

Diabetes eta_hat=0.67

91.3Coverage

9

Rashomon Set Approximation

Diabetes

6.31Running Time (s)

9

Clustering algorithm recommendation

Diabetes (UCI)

15.89ARI

8

Strategic Classification

Diabetes

75.38Post-manipulation Accuracy

8

Diabetes

0.104Individual Fairness Gap

8

Counterfactual Explanation

diabetes numeric

100Validity

8

Counterfactual Generation

diabetes numeric

100Validity Score

8

Active Feature Acquisition

Diabetes

28.9Runtime

8

Synthetic Data Generation

Diabetes

13.5Running Time

8

D5 diabetes MCAR 15% (20% test)

75.97Accuracy

8

Discriminator Measure

Diabetes

99.81Accuracy

8

Tabular Data Generation

Diabetes

0.2Training Time (min)

8

Tabular Data Generation

Diabetes

98Alpha Precision

8

Diabetes

99.9C2ST Score

8

Downstream ML Utility

Diabetes

96.9F1 Score

8

Tabular Synthetic Data Generation

Diabetes

0.013KS Statistic

8

Active Learning

Diabetes

40.1AULC

8

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Popular tasks

Classification Regression Tabular Data Generation Tabular Classification Counterfactual Explanation

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