Regression on Concrete (MSE)
0.2749MSENeural Network
Evaluation Results
| Method | Links | |
|---|---|---|
| Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2749 | |
| Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2755 | |
| CatBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2876 | |
| XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2991 | |
| Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3055 | |
| XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3221 | |
| Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3414 | |
| Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3605 | |
| LassoAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3918 | |
| Linear RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3924 | |
| SVRAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4012 | |
| Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4211 | |
| CatBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4323 | |
| Linear RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4596 | |
| SVRAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.478 | |
| Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.5242 | |
| LassoAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.5609 | |
| Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.5837 |