Wine
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Local explanation fidelity | Wine | RMSE0.003 | 54 | |
| Conditional Shapley value estimation | Wine M=11 | MSEv0.071 | 44 | |
| Tabular Anomaly Detection | Wine | AUC-ROC1 | 39 | |
| Clustering | Wine | ARI0.9 | 34 | |
| Classification | Wine (test) | Accuracy100 | 29 | |
| Hierarchical Agglomerative Clustering | wine | Dendrogram Purity0.95 | 26 | |
| Classification | wine | Accuracy97.78 | 23 | |
| 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 (val) | AUROC83.3 | 12 | |
| Classification | Wine 30% MNAR | F1 Score93.6 | 12 | |
| Regression | Wine | RMSE0.62 | 12 | |
| Classification | wine | F1 Macro98.44 | 12 | |
| Missing data imputation | Wine 30% MCAR | Avg Error0.06 | 11 | |
| Clustering | wine | AMI0.97 | 9 | |
| Multiclass Classification | wine | Weighted F1100 | 9 | |
| Multiclass imbalanced classification | wine | AUC1 | 9 | |
| Multiclass Imbalanced Classification | wine | G-Mean100 | 9 | |
| Tabular Classification | wine 43571 (test) | Test Error4 | 9 | |
| Regression | wine (test) | Log Likelihood-1 | 9 | |
| Regression | Wine OOD rescaled by 0.1 non-normalized UCI (test) | RMSE1.03 | 8 | |
| Regression | Wine | Relative Percentage0.13 | 8 |
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