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Urban Flow Inference on TaxiBJ (P1)
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3.95
RMSE
UrbanFM
3.27128
7.85264
12.434
17.01536
Feb 6, 2019
RMSE
MAE
MAPE
Updated 1mo ago
Evaluation Results
Method
Method
Links
RMSE
MAE
MAPE
UrbanFM
M-F setting=16-128
2019.02
3.95
2.011
0.327
UrbanFM-ne
external factor fusion...
2019.02
4.015
2.047
0.332
DeepSD
number of filters=768/384
2019.02
4.156
2.368
0.614
VDSR
depth=20
2019.02
4.159
2.213
0.467
SRResNet
2019.02
4.164
2.457
0.713
ESPCN
number of filters=768/384
2019.02
4.206
2.497
0.732
SRCNN
number of filters=768/384
2019.02
4.297
2.491
0.714
HA
2019.02
4.741
2.251
0.336
MEAN
2019.02
20.918
12.019
4.469
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