Regression on Abalone
0.4408MSESVR
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SVRAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4408 | — | — | — | |
| XGBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4441 | — | — | — | |
| Random ForestAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.446 | — | — | — | |
| CatBoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4516 | — | — | — | |
| SVRAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4542 | — | — | — | |
| Neural NetworkAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4551 | — | — | — | |
| LassoAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4739 | — | — | — | |
| Random ForestAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4749 | — | — | — | |
| Gradient BoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4778 | — | — | — | |
| XGBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4778 | — | — | — | |
| CatBoostAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.4795 | — | — | — | |
| Linear RegressionAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.5086 | — | — | — | |
| Decision TreeAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.5472 | — | — | — | |
| Decision TreeAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.5566 | — | — | — | |
| Gradient BoostAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.584 | — | — | — | |
| Linear RegressionAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.6867 | — | — | — | |
| Neural NetworkAnalysis Tool=R, Evaluation Protocol=5-fold cross-validation2024.07 | 0.7185 | — | — | — | |
| LassoAnalysis Tool=LAMBDA, Evaluation Protocol=5-fold cross-validation2024.07 | 0.8042 | — | — | — | |
| CQR2025.11 | — | 90.4 | 0.344 | 0.574 | |
| DQR2025.11 | — | 91.5 | 0.35 | 0.586 | |
| MCCP2025.11 | — | 89.8 | 0.344 | 0.569 | |
| MCD2025.11 | — | 34.1 | 0.1 | 0.132 | |
| MCNFepistemic_uncertainty_propagation=true2025.11 | — | 88.6 | 0.099 | 0.514 | |
| MCQR2025.11 | — | 91.4 | 0.354 | 0.587 | |
| NFepistemic_uncertainty_propagation=false2025.11 | — | 87.4 | 0.098 | 0.507 |