Spam
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | SPAM (test) | Accuracy99.6 | 47 | |
| Data Imputation | spam (test) | RMSE0.0532 | 16 | |
| Counterfactual Explanations | Spam (test) | IM11.4798 | 16 | |
| Classification | Spam | Classification Error7 | 16 | |
| Classification | SPAM (train) | Accuracy99.7 | 15 | |
| Missing data imputation | Spam 30% MCAR | Average Error0.205 | 11 | |
| Clustering | spam | AMI0.3 | 9 | |
| Strategic Classification | Spam | Post-manipulation Accuracy90.62 | 8 | |
| Hierarchical Clustering | Spam | Dendrogram Purity84 | 6 | |
| Missing Data Imputation | Spam UCI | AUROC95.29 | 6 | |
| Missing Data Imputation | Spam | RMSE0.0513 | 6 | |
| Ruleset Learning | Spam (test) | Max Rule-Width23 | 5 | |
| OOD Detection | Spam (test) | Length-Matched AUROC84.8 | 5 | |
| HLS Code Generation | spam dotProduct kernel | Latency36 | 4 | |
| Model Stealing | Spam | # Queries12,165 | 2 |
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