Regression on Boston (RMSE)
2.61RMSECARD
Evaluation results
| Method | Links | |
|---|---|---|
| CARD2022.06 | 2.61 | |
| GCDS2022.06 | 2.75 | |
| PBP2022.06 | 2.89 | |
| MC Dropout2022.06 | 3.06 | |
| Deep Ensembles2022.06 | 3.17 | |
| ANOVA-BART2025.09 | 3.448 | |
| Bayesian TPNNModel interpretability=Interpretable model2025.10 | 3.654 | |
| ANOVA TPNNModel interpretability=Interpretable model2025.10 | 3.671 | |
| NAMModel interpretability=Interpretable model2025.10 | 3.832 | |
| NAM2025.09 | 3.832 | |
| BARTModel interpretability=Blackbox model2025.10 | 4.073 | |
| BART2025.09 | 4.073 | |
| XGBModel interpretability=Blackbox model2025.10 | 4.13 | |
| mBNNModel interpretability=Blackbox model2025.10 | 4.277 | |
| SSANOVA2025.09 | 4.46 | |
| MARS2025.09 | 4.788 | |
| LinearModel interpretability=Interpretable model2025.10 | 5.892 |