Regression on Abalone (test)
0.0049L2 RiskBWD-SS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| BWD-SSn=4,177, z=0.052026.06 | 0.0049 | — | — | |
| STAB-SSn=4,177, z=0.052026.06 | 0.006 | — | — | |
| Pat-5n=4,177, patience=52026.06 | 0.0075 | — | — | |
| Pat-20n=4,177, patience=202026.06 | 0.0075 | — | — | |
| FWD-SSn=4,177, z=0.052026.06 | 0.0102 | — | — | |
| OEHGRegression Model=Ridge Regression2026.02 | 5.01 | — | — | |
| OEHGRegression Model=Lasso Regression2026.02 | 5.06 | — | — | |
| CovRTStrategy=Fixed-depth2026.01 | 5.319 | 0.493 | — | |
| CovRTStrategy=Post-pruned2026.01 | 5.412 | 0.484 | — | |
| CARTStrategy=Fixed-depth2026.01 | 5.482 | 0.478 | — | |
| CARTStrategy=Post-pruned2026.01 | 5.513 | 0.476 | — | |
| AID-FPRegression Model=Lasso Regression2026.02 | 6.42 | — | — | |
| AID-FPRegression Model=Ridge Regression2026.02 | 6.42 | — | — | |
| AID-CGRegression Model=Ridge Regression2026.02 | 6.44 | — | — | |
| RHGRegression Model=Lasso Regression2026.02 | 6.46 | — | — | |
| RHGRegression Model=Ridge Regression2026.02 | 6.47 | — | — | |
| T-RHGRegression Model=Lasso Regression2026.02 | 6.98 | — | — | |
| T-RHGRegression Model=Ridge Regression2026.02 | 6.98 | — | — | |
| AID-CGRegression Model=Lasso Regression2026.02 | 8.21 | — | — | |
| GReaTDownstream models=Average of linear regression, LASSO, decision tree and random forest regressors2026.03 | — | 0.123 | — | |
| RealDownstream models=Average of linear regression, LASSO, decision tree and random forest regressors2026.03 | — | 0.291 | — | |
| ReTabSynDownstream models=Average of linear regression, LASSO, decision tree and random forest regressors2026.03 | — | 0.191 | — | |
| SMOTEDownstream models=Average of linear regression, LASSO, decision tree and random forest regressors2026.03 | — | 0.25 | — | |
| TabSynDownstream models=Average of linear regression, LASSO, decision tree and random forest regressors2026.03 | — | 0.17 | — |