Haberman
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Binary Classification | Haberman | Accuracy0.774 | 59 | |
| Binary Classification | Haberman 10% | PR AUC0.323 | 36 | |
| Classification | haberman (test) | Accuracy79.65 | 15 | |
| Classification | haberman 25% feature noise | Accuracy77.4 | 14 | |
| Binary Classification | haberman 25% label noise | Mean F1 Score85.7 | 14 | |
| Classification | haberman 25% label noise (test) | Accuracy77.1 | 14 | |
| Binary classification | haberman UCI (test) | Accuracy78.25 | 13 | |
| Classification | Haberman UCI (5-fold cross-validated) | Accuracy79.87 | 12 | |
| Classification | Haberman | PR AUC47.7 | 12 | |
| Clustering | Haberman | SSE50,200 | 12 | |
| Multiclass Classification | haberman | Weighted F1-score75 | 9 | |
| Multiclass imbalanced classification | haberman | AUC70.4 | 9 | |
| Multiclass Imbalanced Classification | haberman | G-Mean0.699 | 9 | |
| Clustering algorithm recommendation | Haberman (UCI) | ARI15.56 | 8 | |
| Classification | haberman (train) | Accuracy82.83 | 8 | |
| Multi-view Classification | Haberman | Precision75.12 | 7 | |
| Multi-view Classification | Haberman UCI (test) | Recall100 | 7 | |
| Classification | haberman 0% noise (test) | Accuracy76.8 | 7 | |
| Classification | haberman 0% noise | F1 Score85.5 | 7 | |
| Classification | haberman 25% feature noise | F1 Score85.7 | 7 | |
| Classification | haberman 25% feature noise (test) | F1 Score85.3 | 7 | |
| Binary Classification | haberman 25% feature noise (test) | Accuracy76.8 | 7 | |
| Binary Classification | haberman 0% noise | Accuracy75.5 | 7 | |
| Binary Classification | haberman 25% feature noise | F1 Score85.5 | 7 | |
| Classification | haberman UCI (train) | Accuracy80.7 | 6 |
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