Traffic Demand Prediction on NYC-Bike 16
2.5631RMSEPM-DMNet(P)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PM-DMNet(P)variant=P2024.08 | 2.5631 | 1.5566 | 0.7709 | |
| PM-DMNet(R)variant=R2024.08 | 2.5964 | 1.5667 | 0.7638 | |
| ESG2024.08 | 2.6727 | 1.6129 | 0.7449 | |
| MVFN2024.08 | 2.6981 | 1.6565 | 0.738 | |
| MegaCRN2024.08 | 2.748 | 1.6321 | 0.7425 | |
| CCRNN2024.08 | 2.7674 | 1.7133 | 0.7333 | |
| MTGNN2024.08 | 2.7791 | 1.6595 | 0.7353 | |
| STSGCN2024.08 | 2.8846 | 1.7538 | 0.7126 | |
| GTS2024.08 | 2.9258 | 1.7798 | 0.6985 | |
| DCRNN2024.08 | 3.2274 | 1.8973 | 0.6601 | |
| STGCN2024.08 | 3.7829 | 2.2076 | 0.5933 | |
| STG2Seq2024.08 | 3.7843 | 2.2055 | 0.5413 | |
| XGBoost2024.08 | 4.0494 | 2.4689 | 0.4107 |