Regression on six regression data sets
2.5Mean RankSVM regression
Evaluation results
| Method | Links | |
|---|---|---|
| SVM regression2026.05 | 2.5 | |
| Bayesian Ridge regression2026.05 | 3.167 | |
| LASSO regression2026.05 | 3.5 | |
| Ordinary least squares2026.05 | 4 | |
| AdaBoost regression2026.05 | 5.5 | |
| KNN regression2026.05 | 7.5 | |
| Decision tree regression2026.05 | 9.5 | |
| Thompson Sampling pruning2026.05 | 10.667 | |
| Epsilon-Greedy pruning2026.05 | 11.667 | |
| EXP3 pruning2026.05 | 11.75 | |
| Decay Softmax pruning2026.05 | 12.083 | |
| Unpruned NN2026.05 | 12.167 | |
| Decay Epsilon-Greedy pruning2026.05 | 12.75 | |
| Bagging2026.05 | 12.833 | |
| Softmax pruning2026.05 | 12.833 | |
| Kernel Ridge2026.05 | 13 | |
| Hedge-style MW pruningDescription=Hedge-style multiplicative weights2026.05 | 14.083 | |
| XGBoost2026.05 | 15 | |
| UCB1 pruning2026.05 | 15.5 |