Avoiding Undesired Future (AUF) on SynLrBeta
84.3Success ProbabilityGrad-Rh (true graph)
Evaluation results
| Method | Links | |
|---|---|---|
| Grad-Rh (true graph)Graph source=True graph, Sample size=10002026.05 | 84.3 | |
| OLEM-RhGraph source=Learned from data, Sample size=10002026.05 | 82 | |
| Grad-Rh w/OLEM+prunGraph source=Learned from data, Graph learning algorithm=OLEM+prun, Sample size=10002026.05 | 81.6 | |
| OLEM-Rh w/CaPSGraph source=Learned from data, Order-learning component=CaPS, Sample size=10002026.05 | 80.2 | |
| Grad-Rh w/CaPSGraph source=Learned from data, Graph learning algorithm=CaPS, Sample size=10002026.05 | 79.5 | |
| Grad-Rh w/NOTEARSGraph source=Learned from data, Graph learning algorithm=NOTEARS, Sample size=10002026.05 | 79.5 | |
| Grad-Rh (true graph)Graph source=True graph, Sample size=10002026.05 | 79.3 | |
| Grad-Rh w/GESGraph source=Learned from data, Graph learning algorithm=GES, Sample size=10002026.05 | 78.6 | |
| OLEM-RhGraph source=Learned from data, Sample size=10002026.05 | 77.2 | |
| QWZ23 (true graph)Graph source=True graph, Sample size=10002026.05 | 75.4 | |
| OLEM-Rh w/CaPSGraph source=Learned from data, Order-learning component=CaPS, Sample size=10002026.05 | 75.2 | |
| Grad-Rh w/OLEM+prunGraph source=Learned from data, Graph learning algorithm=OLEM+prun, Sample size=10002026.05 | 73.8 | |
| Grad-Rh w/CaPSGraph source=Learned from data, Graph learning algorithm=CaPS, Sample size=10002026.05 | 71.2 | |
| Grad-Rh w/GESGraph source=Learned from data, Graph learning algorithm=GES, Sample size=10002026.05 | 65.4 | |
| QWZ23 (true graph)Graph source=True graph, Sample size=10002026.05 | 64 | |
| Grad-Rh w/NOTEARSGraph source=Learned from data, Graph learning algorithm=NOTEARS, Sample size=10002026.05 | 45.3 |