Classification on Churn (AUROC)
0.852AUROCANOVA-BART
Evaluation results
| Method | Links | |
|---|---|---|
| ANOVA-BART2025.09 | 0.852 | |
| BART2025.09 | 0.849 | |
| SSANOVA2025.09 | 0.848 | |
| NAM2025.09 | 0.848 | |
| MARS2025.09 | 0.847 | |
| Ours2026.06 | 0.8417 | |
| MALMAS2026.04 | 0.835 | |
| DFS2026.04 | 0.833 | |
| DNN2026.05 | 0.831 | |
| Base2026.04 | 0.829 | |
| AutoFeat2026.04 | 0.829 | |
| LLMFE2026.04 | 0.829 | |
| OpenFE2026.04 | 0.828 | |
| DNN + HTAFActivation=HTAF2026.05 | 0.828 | |
| DNN + SSActivation=SS2026.05 | 0.828 | |
| CAAFE2026.04 | 0.827 | |
| LLM-Struct2026.06 | 0.8251 | |
| OCTree2026.04 | 0.825 | |
| REL-GNN2026.06 | 0.8166 | |
| DHN + STETraining=STE2026.05 | 0.816 | |
| Base2026.06 | 0.8087 | |
| HAN2026.06 | 0.7827 | |
| Learnable attention*2025.02 | 0.7768 | |
| Max2025.02 | 0.7737 | |
| Mean2025.02 | 0.7728 | |
| Exp Hawkes2025.02 | 0.7701 | |
| Learnable exp Hawkes*2025.02 | 0.767 | |
| Attention Hawkes2025.02 | 0.7609 | |
| Attention2025.02 | 0.7598 | |
| LightGBM2026.06 | 0.7546 | |
| Without context2025.02 | 0.7432 | |
| LLM-Struct2026.06 | 0.735 | |
| Ours2026.06 | 0.7218 | |
| Learnable exp Hawkes*2025.02 | 0.7191 | |
| Max2025.02 | 0.7113 | |
| Mean2025.02 | 0.7102 | |
| Exp Hawkes2025.02 | 0.7102 | |
| Learnable attention*2025.02 | 0.7102 | |
| Attention Hawkes2025.02 | 0.7098 | |
| Attention2025.02 | 0.7095 | |
| REL-GNN2026.06 | 0.7016 | |
| Without context2025.02 | 0.7004 | |
| Base2026.06 | 0.6824 | |
| HAN2026.06 | 0.6765 | |
| LightGBM2026.06 | 0.6533 |