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Urban flow inference on TaxiBJ (P3)
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4.496
RMSE
UrbanFM
3.57816
9.77358
15.969
22.16442
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
4.496
2.318
0.315
UrbanFM-ne
external factor fusion...
2019.02
4.559
2.352
0.316
SRResNet
2019.02
4.69
2.775
0.717
DeepSD
number of filters=768/384
2019.02
4.692
2.739
0.682
VDSR
depth=20
2019.02
4.73
2.548
0.461
ESPCN
number of filters=768/384
2019.02
4.744
2.862
0.773
SRCNN
number of filters=768/384
2019.02
4.815
2.829
0.727
HA
2019.02
5.594
2.674
0.328
MEAN
2019.02
27.442
16.029
5.612
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