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Urban flow inference on TaxiBJ (P4)
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3.501
RMSE
UrbanFM
2.87908
7.07704
11.275
15.47296
Feb 6, 2019
RMSE
MAE
MAPE
Updated 4d ago
Evaluation Results
Method
Method
Links
RMSE
MAE
MAPE
UrbanFM
M-F setting=16-128
2019.02
3.501
1.815
0.308
UrbanFM-ne
external factor fusion...
2019.02
3.559
1.845
0.309
VDSR
depth=20
2019.02
3.654
1.978
0.411
SRResNet
2019.02
3.667
2.189
0.637
ESPCN
number of filters=768/384
2019.02
3.728
2.228
0.711
SRCNN
number of filters=768/384
2019.02
3.838
2.289
0.665
DeepSD
number of filters=768/384
2019.02
3.877
2.297
0.652
HA
2019.02
4.125
2.023
0.323
MEAN
2019.02
19.049
11.07
4.192
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