Spatio-temporal forecasting on NYC-Bike
1.111MAEiTransformer
Evaluation results
| Method | Links | ||
|---|---|---|---|
| iTransformerTraining Loss=FreST Loss2026.02 | 1.111 | 20.35 | |
| iTransformerTraining Loss=MSE Loss2026.02 | 1.12 | 20.292 | |
| STIDTraining Loss=FreST Loss2026.02 | 1.139 | 21.811 | |
| StaeformerTraining Loss=MSE Loss2026.02 | 1.145 | 27.547 | |
| STIDTraining Loss=MSE Loss2026.02 | 1.159 | 22.981 | |
| DLinearTraining Loss=FreST Loss2026.02 | 1.18 | 21.489 | |
| StaeformerTraining Loss=FreST Loss2026.02 | 1.183 | 27.543 | |
| DLinearTraining Loss=MSE Loss2026.02 | 1.187 | 21.519 | |
| StemGNNTraining Loss=FreST Loss2026.02 | 1.235 | 28.539 | |
| SparseTSFTraining Loss=MSE Loss2026.02 | 1.258 | 21.638 | |
| SparseTSFTraining Loss=FreST Loss2026.02 | 1.264 | 21.636 | |
| StemGNNTraining Loss=MSE Loss2026.02 | 1.286 | 28.195 | |
| STGCNTraining Loss=FreST Loss2026.02 | 1.288 | 30.123 | |
| STGCNTraining Loss=MSE Loss2026.02 | 1.302 | 30.092 | |
| STDNTraining Loss=FreST Loss2026.02 | 1.343 | 31.99 | |
| STDNTraining Loss=MSE Loss2026.02 | 1.365 | 32.019 |