Regression on Census Dataset
0.723Best R^2tuned SVR-RBF
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| tuned SVR-RBFBest Model=SVR, RBF Tuned, Feature Engineering=Domain-motivated feature engineering explored, Scaling Strategy=Feature-specific (3 scalers), Pipeline, Hyperparameter Tuning=RandomizedSearchCV, 20 iter, 3-fold CV, Models Compared=10 models2026.05 | 0.723 | 0.723 | 0.703 | 0.63 | 12.3 | |
| Polynomial RidgeBest Model=Polynomial Ridge, Feature Engineering=Basic raw features only, Scaling Strategy=Uniform scaling, Hyperparameter Tuning=Limited / default, Models Compared=5 models2026.05 | 0.6 | — | — | — | — | |
| SVRFeature Engineering=Basic raw features only, Scaling Strategy=Uniform scaling, Hyperparameter Tuning=Limited / default, Models Compared=5 models2026.05 | — | 0.6 | — | — | — |