Abalone
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Conditional Shapley value estimation | Abalone cont (M=7) | MSE1.135 | 44 | |
| Conditional Shapley value estimation | Abalone M=8 (all) | MSEv1.142 | 39 | |
| Downstream performance prediction | Abalone corrupted with Laplace noise | Downstream Performance95.7 | 19 | |
| Regression | Abalone | RMSE2.051 | 17 | |
| Anomaly Detection | Abalone | AUC-ROC81.44 | 16 | |
| Regression | Abalone (test) | L2 Risk5.01 | 14 | |
| Regression | Abalone UCI (test) | RMSE1.949 | 12 | |
| Regression | abalone | Mean MSE4.36 | 12 | |
| Regression | Abalone | MAE1.524 | 10 | |
| Clustering | Abalone | ARI12.95 | 9 | |
| Membership Inference Attack | Abalone | AUC-ROC62 | 8 | |
| Clustering | Abalone | SS Score0.406 | 8 | |
| Classification | Abalone19 | F1 Score22 | 8 | |
| Anomaly Detection | Abalone | F1-Score68 | 8 | |
| Regression | Abalone | Coverage91.5 | 7 | |
| Binary Classification | Abalone 9_vs_18 | F1-score98.98 | 6 | |
| Tabular Regression | AD (Abalone) (test) | MLE0.772 | 6 | |
| Classification | Abalone (test) | Error Rate0.213 | 5 | |
| Missing Data Imputation | Abalone | Runtime (s)0.9 | 5 | |
| Binary Imbalanced Classification | Abalone 20_vs_8-9-10 | F1-score99.93 | 4 | |
| Multiclass Classification | Abalone UCI | Accuracy (%)24.9 | 4 | |
| Regression | Abalone | CRPS1.372 | 3 | |
| Age Prediction | Abalone | MSE4.47 | 3 | |
| Incremental Gaussian Process Regression | Abalone | RMSE4.76 | 3 | |
| Classification | UCI Abalone (test) | Classification Error73.6 | 2 |
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