Spatio-temporal event modeling on NYC Vehicle Collisions
394.54TLLDMPP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DMPPKernel=RBF2023.10 | 394.54 | 67.91 | |
| HomoPoisson2023.10 | 394.89 | 66.811 | |
| NSTPP2023.10 | 396.33 | 72.08 | |
| DeepSTPP2023.10 | 396.6 | 69.35 | |
| DMPPKernel=RQ2023.10 | 399.71 | 72.32 | |
| Score-DKMPP+Kernel=OU2023.10 | 400.32 | 79.86 | |
| DMPPKernel=OU2023.10 | 402.54 | 74.27 | |
| Score-DKMPP+Kernel=RBF2023.10 | 402.54 | 79.13 | |
| Score-DKMPP+Kernel=RQ2023.10 | 403.93 | 79.85 | |
| Score-DKMPPKernel=OU2023.10 | 407.43 | 78.84 | |
| Score-DKMPPKernel=RBF2023.10 | 409.02 | 79.67 | |
| Score-DKMPPKernel=RQ2023.10 | 411.03 | 79.42 |