Traffic Demand Prediction on NYC-Bike 14
5.8656RMSEPM-DMNet(R)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PM-DMNet(R)variant=R2024.08 | 5.8656 | 2.5582 | 0.5246 | |
| PM-DMNet(P)variant=P2024.08 | 5.879 | 2.5687 | 0.5274 | |
| MegaCRN2024.08 | 6.3258 | 2.8005 | 0.5185 | |
| DCRNN2024.08 | 6.3259 | 2.7483 | 0.5184 | |
| ESG2024.08 | 6.3503 | 2.7972 | 0.5175 | |
| MTGNN2024.08 | 6.3548 | 2.8172 | 0.5154 | |
| MVFN2024.08 | 6.4116 | 2.8228 | 0.5131 | |
| GTS2024.08 | 6.7053 | 2.9446 | 0.5044 | |
| CCRNN2024.08 | 7.489 | 3.5197 | 0.4861 | |
| STSGCN2024.08 | 7.8272 | 3.2998 | 0.4656 | |
| STGCN2024.08 | 8.5412 | 3.5833 | 0.4481 | |
| XGBoost2024.08 | 10.3137 | 4.8228 | 0.3322 | |
| STG2Seq2024.08 | 10.8561 | 4.4999 | 0.3751 |