Wine
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Tabular Anomaly Detection | Wine | AUC-ROC1 | 56 | |
| Local explanation fidelity | Wine | RMSE0.003 | 54 | |
| Regression | wine | MSE0.518 | 49 | |
| Classification | wine | F1 Macro98.44 | 48 | |
| Classification | wine | Accuracy99.1 | 45 | |
| Conditional Shapley value estimation | Wine M=11 | MSEv0.071 | 44 | |
| Clustering | Wine | ARI0.9 | 43 | |
| Classification | Wine (test) | Accuracy100 | 29 | |
| Classification | wine | F1 Score98.8 | 26 | |
| Hierarchical Agglomerative Clustering | wine | Dendrogram Purity0.95 | 26 | |
| Anomaly Detection | Wine | AUC-PR100 | 21 | |
| Classification | Wine (5-fold cross-validation) | Accuracy97.22 | 17 | |
| Tabular Classification with Feature Selection | Wine | Accuracy90.28 | 14 | |
| Regression | Wine UCI (test) | RMSE0.61 | 14 | |
| Data Imputation | Wine | MAE0.0768 | 14 | |
| Node Classification | Wine (test) | Accuracy97.3 | 13 | |
| Classification | Wine 4% | PR AUC60.6 | 12 | |
| Classification | wine (val) | AUROC83.3 | 12 | |
| Classification | Wine 30% MNAR | F1 Score93.6 | 12 | |
| Regression | Wine | RMSE0.62 | 12 | |
| Explanation Regularity | Wine | Regularity91 | 11 | |
| Explanation Fidelity Estimation | Wine | Fidelity (R2 Score)0.518 | 11 | |
| Explanation Stability | Wine | Stability100 | 11 | |
| Missing data imputation | Wine 30% MCAR | Avg Error0.06 | 11 | |
| Clustering | Wine 13D | ARI85 | 10 |
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