Regression on 12 regression datasets
0.761Mean R^2Soft Learning
Evaluation results
| Method | Links | |
|---|---|---|
| Soft Learningcross-validation=5-fold2026.05 | 0.761 | |
| Tuned MLPcross-validation=5-fold2026.05 | 0.737 | |
| KAN-likecross-validation=5-fold2026.05 | 0.726 | |
| CatBoostcross-validation=5-fold2026.05 | 0.725 | |
| Grad. Boostingcross-validation=5-fold2026.05 | 0.706 | |
| LR / Ridgecross-validation=5-fold2026.05 | 0.68 | |
| Random Forestcross-validation=5-fold2026.05 | 0.663 | |
| Basic MLPcross-validation=5-fold2026.05 | 0.661 | |
| NeuroSymcross-validation=5-fold2026.05 | 0.648 | |
| Best-of-3cross-validation=5-fold2026.05 | 0.473 |