Probabilistic Forecasting on taxi
0.119CRPSEnTransformer
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| EnTransformer2026.03 | 0.119 | — | |
| TimeGrad2026.03 | 0.1255 | — | |
| Transformer-MAF2026.03 | 0.1531 | — | |
| MG-Input2026.03 | 0.1592 | — | |
| GP-Copula2026.03 | 0.1894 | — | |
| TACTiS2026.03 | 0.207 | — | |
| GP-Scaling2026.03 | 0.2265 | — | |
| LSTM-MAF2026.03 | 0.2295 | — | |
| Vec-LSTM2026.03 | 0.4794 | — | |
| TimePreNumber of hypotheses=162025.11 | 21.72 | — | |
| Tactis2Number of hypotheses=162025.11 | 22.52 | — | |
| TempFlowNumber of hypotheses=162025.11 | 44.55 | — | |
| TimeMCL (R.)Number of hypotheses=162025.11 | 46.19 | — | |
| DeepARHypotheses=162025.11 | — | 477.93 | |
| ETSHypotheses=162025.11 | — | 609.67 | |
| Tactis2Hypotheses=162025.11 | — | 243.63 | |
| TempFlowHypotheses=16, Backbone=LSTM2025.11 | — | 293.76 | |
| TempFlow (Trf.)Hypotheses=16, Backbone=Transformer2025.11 | — | 308.62 | |
| TimeGradHypotheses=162025.11 | — | 221.32 | |
| TimeMCL (A.)Hypotheses=16, Training=Annealed-MCL2025.11 | — | 252.84 | |
| TimeMCL (R.)Hypotheses=16, Training=Relaxed-WTA2025.11 | — | 191.23 | |
| TimePreHypotheses=162025.11 | — | 182.27 |