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ResearchFormerly WizWand

Sparse Predictive Analytics on Frappe (test)

0.3095RMSENFM
0.3055960.3319480.35830.384652Aug 16, 2017
Updated 8mo ago

Evaluation results

MethodLinks
NFMFactors=256, Param#=1.45M2017.080.3095
NFMFactors=128, Param#=0.71M2017.080.3127
Wide&DeepFactors=256, Param#=4.66M, Pre-training=FM feature embeddings2017.080.3246
Wide&DeepFactors=128, Param#=2.66M, Pre-training=FM feature embeddings2017.080.3311
HOFMFactors=256, Param#=2.76M, Pre-training=random initialization2017.080.3331
LibFMFactors=256, Param#=1.38M, Pre-training=random initialization2017.080.3385
DeepCrossFactors=128, Param#=4.47M, Pre-training=FM feature embeddings2017.080.3388
HOFMFactors=128, Param#=1.38M, Pre-training=random initialization2017.080.3405
LibFMFactors=128, Param#=0.69M, Pre-training=random initialization2017.080.3437
DeepCrossFactors=256, Param#=8.93M, Pre-training=FM feature embeddings2017.080.3548
Wide&DeepFactors=128, Param#=2.66M, Pre-training=none2017.080.3621
Wide&DeepFactors=256, Param#=4.66M, Pre-training=none2017.080.3661
DeepCrossFactors=128, Param#=4.47M, Pre-training=none2017.080.4025
DeepCrossFactors=256, Param#=8.93M, Pre-training=none2017.080.4071