Diabetes
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Local explanation fidelity | Diabetes n = 9 | RMSE0.001 | 54 | |
| Classification | Diabetes | Mean Misclassification Rate22.05 | 48 | |
| Conditional Shapley value estimation | Diabetes M=10 | MSEv0.125 | 43 | |
| Classification | Diabetes (test) | Accuracy92.5 | 32 | |
| Binary Classification | Diabetes | AUC0.84 | 24 | |
| Counterfactual Explanation Generation | Diabetes | R0.996 | 23 | |
| State Reconstruction | diabetes Correlated Gaussian noise (test) | MSE0.963 | 20 | |
| Kernel State Reconstruction | diabetes Student-t noise (test) | Full Test MSE0.853 | 20 | |
| Data Imputation | Diabetes (1/3 omitted) | Accuracy63.21 | 16 | |
| Tabular Classification | diabetes 37 (test) | Test Error23.4 | 15 | |
| Tabular Classification with Feature Selection | Diabetes | Accuracy62.63 | 14 | |
| Tabular Classification | Diabetes (test) | Accuracy62.64 | 14 | |
| Data Imputation | Diabetes | Accuracy63.18 | 14 | |
| AUC maximization | diabetes (test) | AUC81.3 | 13 | |
| Classification | Diabetes 25% held-out (test) | Accuracy76 | 12 | |
| Counterfactual Explanation | diabetes | Validity100 | 12 | |
| Classification | diabetes (val) | AUROC (%)85.2 | 12 | |
| Conformal Prediction | Diabetes eta_hat=0.67 | Coverage91.3 | 9 | |
| Rashomon Set Approximation | Diabetes | Running Time (s)6.31 | 9 | |
| Classification | Diabetes | Accuracy77.8 | 9 | |
| Membership Inference Attack | Diabetes | AUC-ROC0.66 | 8 | |
| Classification | Diabetes Sine shift | Classification Error35.17 | 8 | |
| Classification | Diabetes Square shift | Avg Classification Error36.45 | 8 | |
| High-value data removal | Diabetes (test) | Weighted Accuracy Drop-0.2 | 8 | |
| Noisy label detection | Diabetes | AUC0.441 | 8 |
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