Spambase
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| LF Mislabeling Identification | Spambase | AP92.7 | 32 | |
| End model evaluation | Spambase | Test Loss0.258 | 22 | |
| Classification | Spambase (test) | Test Loss0.283 | 13 | |
| Outlier Detection | SpamBase | AUC0.9021 | 11 | |
| Outlier Detection | SpamBase | AP86.31 | 11 | |
| Hierarchical Clustering | Spambase | Dasgupta's Cost34,261,369.825 | 10 | |
| Hierarchical Clustering | Spambase | DP75.5 | 10 | |
| Classification | Spambase | F1 Score93.92 | 9 | |
| CASH | spambase (test) | Test Error0.0591 | 9 | |
| Classification | Spambase (5-fold cross-val) | Accuracy92.23 | 7 | |
| Classification | spambase | Accuracy93.5 | 7 | |
| Mixture Proportion Estimation | UCI spambase (test) | Absolute Error0.006 | 6 | |
| PvN classification | UCI Spambase (test) | Accuracy89.4 | 6 | |
| Active Learning Classification | Spambase | F1 Score78.5 | 5 | |
| Binary Classification | spambase | AUC0.989 | 2 | |
| Classification | UCI Spambase (test) | Metric- | 0 |
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