Average Treatment Effect Estimation on IHDP, ACIC, and Lalonde 2016
0.08ATE Error (IHDP)Forest DML
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Forest DML2025.06 | 0.08 | 0.05 | 1.03 | 1.05 | 9.6 | |
| X-Learner2025.06 | 0.16 | 0.03 | 0.84 | 0.72 | 7.31 | |
| Forest DR Learner2025.06 | 0.17 | 0.04 | 1.2 | 3.64 | 8.38 | |
| GRF2025.06 | 0.18 | 0.07 | 0.82 | 0.85 | 8.02 | |
| CausalPFN2025.06 | 0.2 | 0.05 | 0.13 | 0.22 | 4.45 | |
| DragonNet2025.06 | 0.2 | 0.06 | 0.55 | 0.47 | 6.26 | |
| RA-Net2025.06 | 0.2 | 0.07 | 0.74 | 0.5 | 6.78 | |
| TarNet2025.06 | 0.2 | 0.05 | 1 | 0.78 | 8.83 | |
| S-Learner2025.06 | 0.2 | 0.03 | 0.97 | 0.9 | 8.85 | |
| T-Learner2025.06 | 0.21 | 0.03 | 0.24 | 0.16 | 4.31 | |
| DA-Learner2025.06 | 0.23 | 0.03 | 0.27 | 0.2 | 4.83 | |
| IPW2025.06 | 0.24 | 0.21 | 0.17 | 0.1 | 4.41 | |
| BART2025.06 | 0.44 | 0.04 | 0.99 | 0.86 | 8.99 |