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Benchmarks
Spatio-Temporal Forecasting on Beijing N=35, C=6 (test)
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15.29
MAE
Double-Diffusion
15.0468
16.6884
18.33
19.9716
Jun 29, 2025
MAE
RMSE
CRPS
Updated 17d ago
Evaluation Results
Method
Method
Links
MAE
RMSE
CRPS
Double-Diffusion
Model Type=Probabilistic
2025.06
15.29
42.85
12.49
CSDI
Model Type=Probabilistic
2025.06
15.84
45.16
13.34
GMAN
Model Type=Deterministic
2025.06
17.73
46.33
-
STGCN
Model Type=Deterministic
2025.06
17.81
45.32
-
DLinear
Model Type=Deterministic
2025.06
18.58
47.03
-
GMSDR
Model Type=Deterministic
2025.06
18.75
46.55
-
DeepAR
Model Type=Probabilistic
2025.06
20.59
53.95
17.89
DiffSTG
Model Type=Probabilistic
2025.06
21
112.2
17.1
MC Dropout
Model Type=Probabilistic
2025.06
21.37
50.66
19.06
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