Spatio-temporal Interval Prediction on NYCbike (January)
93.1CoverageProb-GNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Prob-GNN2025.04 | 93.1 | 0.306 | 87.8 | |
| DESQRUQ2025.04 | 91.7 | 0.284 | 86.6 | |
| UAT-GCN2025.04 | 91.7 | 0.284 | 85 | |
| QuanTraffic2025.04 | 91.3 | 0.288 | 86.4 | |
| QCP2025.04 | 90 | 0.266 | 85.1 | |
| ACI2025.04 | 89.8 | 0.3 | 88.8 | |
| QR2025.04 | 89.6 | 0.265 | 81.1 | |
| DtACI2025.04 | 89.6 | 0.291 | 87.3 | |
| CONTINA2025.04 | 89.6 | 0.276 | 88.8 | |
| DeepJMQR2025.04 | 89.5 | 0.248 | 82.4 | |
| CP2025.04 | 89.2 | 0.285 | 84.3 | |
| MIS2025.04 | 88.7 | 0.278 | 80.1 | |
| MCD2025.04 | 54.8 | 0.218 | 36.4 | |
| Bootstrap2025.04 | 30.8 | 0.084 | 20.4 |