Regression on Power Plant (MSE)
0.0315MSEGradient Boost
Evaluation Results
| Method | Links | |
|---|---|---|
| Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0315 | |
| XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0319 | |
| CatBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0325 | |
| Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0363 | |
| Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0375 | |
| XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0375 | |
| SVRAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0489 | |
| SVRAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0534 | |
| Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0538 | |
| Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0551 | |
| Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0567 | |
| CatBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0568 | |
| Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0612 | |
| Linear RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0713 | |
| LassoAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0713 | |
| Linear RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0714 | |
| LassoAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.0718 | |
| Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.1175 |