Regression on FLIPMM Benchmark 1
0.957R^2Proposed
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ProposedCategory=Physics-Incorporated, Evaluation Process=f_refine2026.06 | 0.957 | 2.204 | 6,537 | |
| ProposedCategory=Physics-Incorporated, Evaluation Process=f_init2026.06 | 0.949 | 2.41 | 6,537 | |
| PhysicsCategory=Physics-only, Evaluation Process=f_refine2026.06 | 0.928 | 2.867 | 4,332 | |
| KDCategory=Traditional Neural Network, Evaluation Process=f_init2026.06 | 0.907 | 3.248 | 6,572 | |
| MLPCategory=Traditional Neural Network, Evaluation Process=f_init2026.06 | 0.896 | 3.432 | 6,494 | |
| PG-MLPCategory=Physics-Incorporated, Evaluation Process=f_refine2026.06 | 0.868 | 3.872 | 6,511 | |
| PG-MLPCategory=Physics-Incorporated, Evaluation Process=f_init2026.06 | 0.854 | 4.073 | 6,511 | |
| PhysicsCategory=Physics-only, Evaluation Process=f_init2026.06 | 0.689 | 5.939 | 4,332 | |
| XGBoostCategory=Traditional Regression, Evaluation Process=f_init2026.06 | 0.453 | 7.886 | 969 | |
| RFCategory=Traditional Regression, Evaluation Process=f_init2026.06 | 0.342 | 8.645 | 1,726 |