Causal Order Estimation on Covid non-linear synthetic 3
1.67SHDTriplet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Triplet2024.12 | 1.67 | — | |
| PC2024.12 | 3 | — | |
| MATSconfiguration=MPDAG2024.12 | 3 | — | |
| MATSconfiguration=Causal Orders2024.12 | 3 | — | |
| GES2024.12 | 5 | — | |
| BOSS2024.12 | 5 | — | |
| GRaSP2024.12 | 5 | — | |
| NOTEARS2024.12 | 5.17 | — | |
| GOBNILP2024.12 | 5.2 | — | |
| BOSSOutput representation=CPDAG, Number of runs=52024.12 | — | 5 | |
| GESOutput representation=CPDAG, Number of runs=52024.12 | — | 2 | |
| GOBNILPOutput representation=CPDAG, Number of runs=52024.12 | — | 4.45 | |
| GRaSPOutput representation=CPDAG, Number of runs=52024.12 | — | 5 | |
| MATS MPDAGOutput representation=MPDAG, Number of runs=52024.12 | — | 1 | |
| MATS πOutput representation=Causal order π, Number of runs=52024.12 | — | 1 | |
| NOTEARSOutput representation=CPDAG (from DAG), Number of runs=52024.12 | — | 4.46 | |
| PCOutput representation=CPDAG, Number of runs=52024.12 | — | 2 | |
| TripletOutput representation=Classes of causal orders, Number of runs=52024.12 | — | 0 |