Regression on Bike Sharing (test)
0.111MSENODE-GA2M
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| NODE-GA2M2022.09 | 0.111 | — | — | — | |
| GA2M EBM2022.09 | 0.124 | — | — | — | |
| SIANK=32022.09 | 0.125 | — | — | — | |
| SIANK=22022.09 | 0.127 | — | — | — | |
| SIANK=52022.09 | 0.149 | — | — | — | |
| XGB2022.09 | 0.157 | — | — | — | |
| RMAVEd*=4, Time (s)=327.32026.05 | 0.165 | — | — | — | |
| SMAVEd*=4, Time (s)=0.32026.05 | 0.167 | — | — | — | |
| SVM2022.09 | 0.168 | — | — | — | |
| RF2022.09 | 0.206 | — | — | — | |
| PCAd*=10, Time (s)=< 0.12026.05 | 0.215 | — | — | — | |
| OPGd*=8, Time (s)=2.82026.05 | 0.268 | — | — | — | |
| DNN2022.09 | 0.374 | — | — | — | |
| SIANK=12022.09 | 0.387 | — | — | — | |
| LASSO2022.09 | 1.053 | — | — | — | |
| CQR1 - alpha=90%2026.05 | — | — | 91.65 | 206.4 | |
| CQR1 - alpha=85%2026.05 | — | — | 86.66 | 174.01 | |
| CQR1 - alpha=80%2026.05 | — | — | 81.3 | 149 | |
| Explainable Boosting Machine2025.12 | — | 57.7 | — | — | |
| Global GAM2025.12 | — | 88.8 | — | — | |
| LASSO2025.12 | — | 140.3 | — | — | |
| MARS2025.12 | — | 122.5 | — | — | |
| Mixture of GAMs2025.12 | — | 52.5 | — | — | |
| MLM-cell2025.12 | — | 60.9 | — | — | |
| MLM-EPIC2025.12 | — | 66.7 | — | — | |
| MLP2025.12 | — | 47.4 | — | — | |
| Random Forest2025.12 | — | 72.6 | — | — | |
| RFF-temporal model2025.12 | — | 92.3 | — | — | |
| Scaled-score1 - alpha=90%2026.05 | — | — | 89.55 | 127.1 | |
| Scaled-score1 - alpha=85%2026.05 | — | — | 85.63 | 113.06 | |
| Scaled-score1 - alpha=80%2026.05 | — | — | 80.08 | 102.2 | |
| Skew-adaptive1 - alpha=90%2026.05 | — | — | 90.67 | 110.54 | |
| Skew-adaptive1 - alpha=85%2026.05 | — | — | 84.93 | 96.21 | |
| Skew-adaptive1 - alpha=80%2026.05 | — | — | 79.51 | 85.06 | |
| XGBoost2025.12 | — | 37.7 | — | — |