Uplift Modeling on Synthetic Dataset
1.1596Seller AUUCCanniUplift
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| CanniUpliftcomponents=EUEN + PGA2026.07 | 1.1596 | 0.638 | 1.1474 | 0.6237 | |
| M3TN2026.07 | 1.1382 | 0.6273 | 0.9714 | 0.4591 | |
| EUEN2026.07 | 1.094 | 0.5837 | 1.1245 | 0.6024 | |
| X-net2026.07 | 1.0612 | 0.5589 | 0.9481 | 0.4553 | |
| DragonNet2026.07 | 1.0475 | 0.5432 | 0.9438 | 0.443 | |
| UMLC2026.07 | 1.0291 | 0.5263 | 0.9165 | 0.4238 | |
| CFRNet2026.07 | 1.0084 | 0.4966 | 0.996 | 0.4839 | |
| TARNet2026.07 | 1.0074 | 0.503 | 1.1052 | 0.5972 | |
| HUM2026.07 | 0.9714 | 0.4728 | 0.9612 | 0.4613 | |
| TLearner2026.07 | 0.8308 | 0.3305 | 0.9548 | 0.4512 |