pima
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Tabular Anomaly Detection | Pima | AUC ROC0.765 | 53 | |
| Classification | pima | Accuracy77.58 | 17 | |
| Imbalanced Classification | Pima (test) | Macro F176.31 | 12 | |
| Classification | Pima | Recall77.03 | 12 | |
| Anomaly Detection | PIMA ODDS | AUC72.2 | 12 | |
| Classification | Pima | Precision76.73 | 11 | |
| Outlier Detection | Pima | AP53.57 | 11 | |
| Continual Clustering | Pima | AI NMI0.572 | 9 | |
| Classification | Pima (5-fold cross-validation) | Accuracy74.68 | 7 | |
| Binary Classification | pima | F1-score96.15 | 6 | |
| Classification | pima UCI/KEEL (test) | Accuracy76.19 | 6 | |
| Classification | pima | Average Running Time (s)0.005 | 6 | |
| Classification | PIMA 20% MNAR (test) | Accuracy70.42 | 5 | |
| Classification | PIMA MAR imputed (test) | Accuracy (Test)70.21 | 5 | |
| Classification | PIMA MCAR Imputed (test) | Accuracy70.93 | 5 | |
| Classification | pima | Rules Count10.1 | 4 |
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