Regression on Concrete (R^2)
0.886R^2MLP
Evaluation Results
| Method | Links | |
|---|---|---|
| MLPNumber of training samples=5002026.02 | 0.886 | |
| infoR–LSFNumber of training samples=5002026.02 | 0.882 | |
| VIBNumber of training samples=5002026.02 | 0.877 | |
| AdverISF (Two-Stage)Number of training samples=5002026.02 | 0.829 | |
| AdverISF (Joint)Number of training samples=5002026.02 | 0.815 | |
| AdverISF (Two-Stage)Number of training samples=702026.02 | 0.685 | |
| AdverISF (Joint)Number of training samples=1002026.02 | 0.674 | |
| AdverISF (Two-Stage)Number of training samples=1002026.02 | 0.669 | |
| AdverISF (Joint)Number of training samples=702026.02 | 0.662 | |
| infoR–LSFNumber of training samples=1002026.02 | 0.658 | |
| MLPNumber of training samples=1002026.02 | 0.649 | |
| AdverISF (Two-Stage)Number of training samples=502026.02 | 0.643 | |
| VIBNumber of training samples=1002026.02 | 0.641 | |
| AdverISF (Joint)Number of training samples=502026.02 | 0.638 | |
| VIBNumber of training samples=702026.02 | 0.589 | |
| infoR–LSFNumber of training samples=702026.02 | 0.585 | |
| MLPNumber of training samples=702026.02 | 0.581 | |
| AdverISF (Two-Stage)Number of training samples=302026.02 | 0.526 | |
| AdverISF (Joint)Number of training samples=302026.02 | 0.496 | |
| infoR–LSFNumber of training samples=502026.02 | 0.451 | |
| VIBNumber of training samples=502026.02 | 0.386 | |
| MLPNumber of training samples=502026.02 | 0.381 | |
| VIBNumber of training samples=302026.02 | 0.27 | |
| infoR–LSFNumber of training samples=302026.02 | 0.269 | |
| MLPNumber of training samples=302026.02 | 0.207 |