Churn
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Churn | Accuracy95.8 | 59 | |
| Classification | Churn | AUROC0.852 | 45 | |
| Tabular Classification | Churn | Balanced Accuracy31.3 | 24 | |
| IBS Estimation | Churn | Mean Absolute Error (MAE)0.111 | 20 | |
| Model Compression | churn | Performance Score86.6 | 13 | |
| Model Compression | churn | Accuracy / R287 | 13 | |
| RF compression | churn | Performance86.3 | 13 | |
| Counterfactual Explanations | churn | Validity48.5 | 12 | |
| Classification | Churn (test) | Accuracy95.74 | 10 | |
| Tabular Data Synthesis | Churn (test) | AUC0.819 | 9 | |
| Memorization and Privacy Analysis | Churn | NN Distance (DNN)0.4152 | 8 | |
| Classification | Churn (global val) | PR-AUC83.03 | 8 | |
| Clustering | Churn (UCI) | ARI0.3941 | 8 | |
| Classification | Churn three random train-test splits | Accuracy79.2 | 8 | |
| Tabular Classification | Churn imbalanced (test) | PR-AUC88.3 | 8 | |
| Tabular Data Synthesis | Churn | Density Similarity (Single-Column)97.6 | 8 | |
| Tabular Data Synthesis | Churn | Training Time (s)48.3 | 7 | |
| Out-of-distribution detection | CHURN (test) | AUROC0.724 | 7 | |
| Decision Tree Rashomon Set construction | Churn | Construction Time (s)7.09 | 6 | |
| Event Sequence Classification | Churn | Accuracy85.07 | 6 | |
| Classification | CHURN | F1-Macro75.2 | 6 | |
| Tabular Data Synthesis | Churn (CH) (test) | Utility0.8784 | 6 | |
| Survival model ranking recovery | Churn | Top-3 Recovery Frequency (Oracle)0.925 | 5 | |
| Decision Tree Rashomon Set Calculation | Churn | Runtime7.09 | 4 | |
| Rashomon set approximation | Churn-472 | Recall100 | 4 |
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