Table 1 Prediction performance of different models on weekdays and weekends
From: Estimating emissions reductions with carpooling and vehicle dispatching in ridesourcing mobility
Model | RMSE | MAE | R2 |
---|---|---|---|
(1) On weekday | |||
 LASSO | 611.7709 | 486.8776 | 0.0075 |
 LR | 368.0863 | 267.9226 | 0.6407 |
 RF | 462.3497 | 353.4337 | 0.4331 |
 XGBoost | 222.0051 | 155.8244 | 0.8693 |
 CatBoost | 236.1013 | 166.8061 | 0.8522 |
 LightGBM | 240.8258 | 170.3484 | 0.8462 |
 Stacking-XCL | 221.2547 | 155.3501 | 0.8702 |
(2) On weekends | |||
 LASSO | 511.5165 | 402.6600 | 0.2178 |
 LR | 323.0614 | 235.6166 | 0.6880 |
 RF | 430.6462 | 328.8291 | 0.4456 |
 XGBoost | 210.8702 | 148.5075 | 0.8671 |
 CatBoost | 228.2590 | 160.9295 | 0.8442 |
 LightGBM | 231.6944 | 163.5118 | 0.8395 |
 Stacking-XCL | 208.3427 | 146.8466 | 0.8702 |