Metric: Average Treatment Effect Error (lower is better)
| # | Model↕ | Average Treatment Effect Error▲ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | SIP + BCAUSS | 0.13 | No | - | - | Code |
| 2 | BCAUSS | 0.15 | No | - | - | Code |
| 3 | Dragonnet | 0.2 | No | Adapting Neural Networks for the Estimation of T... | 2019-06-05 | Code |
| 4 | MTDL-KNN | 0.23 | No | - | - | Code |
| 5 | Counterfactual Regression + WASS | 0.27 | No | Estimating individual treatment effect: generali... | 2016-06-13 | Code |
| 6 | TARNet | 0.28 | No | Estimating individual treatment effect: generali... | 2016-06-13 | Code |
| 7 | BCAUS DR | 0.29 | No | - | - | - |
| 8 | Causal Forest | 0.4 | No | Estimating individual treatment effect: generali... | 2016-06-13 | Code |
| 9 | Balancing Neural Network | 0.42 | No | Estimating individual treatment effect: generali... | 2016-06-13 | Code |
| 10 | CEVAE | 0.46 | No | Causal Effect Inference with Deep Latent-Variabl... | 2017-05-24 | Code |
| 11 | k-NN | 0.79 | No | Estimating individual treatment effect: generali... | 2016-06-13 | Code |
| 12 | Balancing Linear Regression | 0.93 | No | Estimating individual treatment effect: generali... | 2016-06-13 | Code |
| 13 | Random Forest | 0.96 | No | Estimating individual treatment effect: generali... | 2016-06-13 | Code |