Mushroom
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Outlier Detection | Mushroom2 | AUC0.9898 | 33 | |
| LF Mislabeling Identification | Mushroom | AP97.5 | 32 | |
| Outlier Detection | Mushroom 1 | AUC97.38 | 22 | |
| Outlier Detection | Mushroom 2 | AP96.23 | 22 | |
| Outlier Detection | Mushroom 1 | AP89.9 | 22 | |
| End model evaluation | Mushroom | Test Loss0.156 | 22 | |
| Vertex Classification | Mushroom (test) | Accuracy99.86 | 20 | |
| Classification | Mushroom (test) | Test Loss0.144 | 13 | |
| Outlier Detection | Mushroom 1 | AUC-ROC98.3 | 11 | |
| Outlier Detection | Mushroom 2 | AUC-PR0.929 | 11 | |
| Outlier Detection | Mushroom 1 | AUC-PR90.5 | 11 | |
| Tabular Data Synthesis | Mushroom (test) | AUC1 | 9 | |
| Contextual Bandit | Mushroom | Relative Cumulative Regret2.2 | 9 | |
| Tabular Data Synthesis | Mushroom | Density Similarity (Single Column)98.7 | 8 | |
| Contextual Bandit | OpenML Mushroom (T=8124) | Mean Cumulative Regret53.9 | 7 | |
| Classification | mushroom (UCI) (test) | Accuracy97.05 | 7 | |
| Contextual Bandit | Mushroom (OpenML) | Final Regret53.9 | 6 | |
| Classification | mushroom | Latency (s)0.031 | 6 | |
| Mixture Proportion Estimation | UCI mushroom (test) | Absolute Estimation Error0.001 | 6 | |
| Classification | Mushroom 20% MNAR (test) | Test Accuracy98.5 | 5 | |
| Classification | Mushroom MAR imputed (test) | Test Accuracy97.38 | 5 | |
| Classification | Mushroom MCAR Imputed (test) | Test Accuracy98.5 | 5 | |
| PU learning | Mushroom (test) | F-score99.71 | 4 | |
| Positive-Unlabeled Classification | Mushroom (test) | Accuracy99.7 | 4 | |
| Classification | mushroom | Rule Adherence14.1 | 4 |
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