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Benchmarks
Sparse Predictive Analytics on Frappe (test)
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0.3095
RMSE
NFM
0.305596
0.331948
0.3583
0.384652
Aug 16, 2017
RMSE
Updated 4d ago
Evaluation Results
Method
Method
Links
RMSE
NFM
Factors=256, Param#=1.45M
2017.08
0.3095
NFM
Factors=128, Param#=0.71M
2017.08
0.3127
Wide&Deep
Factors=256, Param#=4....
2017.08
0.3246
Wide&Deep
Factors=128, Param#=2....
2017.08
0.3311
HOFM
Factors=256, Param#=2....
2017.08
0.3331
LibFM
Factors=256, Param#=1....
2017.08
0.3385
DeepCross
Factors=128, Param#=4....
2017.08
0.3388
HOFM
Factors=128, Param#=1....
2017.08
0.3405
LibFM
Factors=128, Param#=0....
2017.08
0.3437
DeepCross
Factors=256, Param#=8....
2017.08
0.3548
Wide&Deep
Factors=128, Param#=2....
2017.08
0.3621
Wide&Deep
Factors=256, Param#=4....
2017.08
0.3661
DeepCross
Factors=128, Param#=4....
2017.08
0.4025
DeepCross
Factors=256, Param#=8....
2017.08
0.4071
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