Regression on Airfoil (MSE)
0.2528MSEGradient Boost
Evaluation Results
| Method | Links | |
|---|---|---|
| Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2528 | |
| CatBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2529 | |
| Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2559 | |
| Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2604 | |
| CatBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2638 | |
| Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2655 | |
| XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2741 | |
| XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2832 | |
| Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.2888 | |
| Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3343 | |
| SVRAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3725 | |
| Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3823 | |
| SVRAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.3854 | |
| Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4292 | |
| LassoAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4886 | |
| Linear RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.5717 | |
| LassoAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.5738 | |
| Linear RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.6972 |