List your company
ResearchFormerly WizWand

Sparse Predictive Analytics on MovieLens (test)

0.4443RMSENFM
0.4384440.4779720.51750.557028Aug 16, 2017
Updated 8mo ago

Evaluation results

MethodLinks
NFMFactors=256, Param#=23.31M2017.080.4443
Wide&DeepFactors=256, Param#=24.69M, Pre-training=FM feature embeddings2017.080.4512
NFMFactors=128, Param#=11.68M2017.080.4557
Wide&DeepFactors=128, Param#=12.72M, Pre-training=FM feature embeddings2017.080.4595
HOFMFactors=256, Param#=46.40M, Pre-training=random initialization2017.080.4636
LibFMFactors=256, Param#=23.24M, Pre-training=random initialization2017.080.4735
HOFMFactors=128, Param#=23.24M, Pre-training=random initialization2017.080.4752
LibFMFactors=128, Param#=11.67M, Pre-training=random initialization2017.080.4793
DeepCrossFactors=128, Param#=12.71M, Pre-training=FM feature embeddings2017.080.5084
DeepCrossFactors=256, Param#=25.42M, Pre-training=FM feature embeddings2017.080.513
Wide&DeepFactors=256, Param#=24.69M, Pre-training=none2017.080.5313
Wide&DeepFactors=128, Param#=12.72M, Pre-training=none2017.080.5323
DeepCrossFactors=128, Param#=12.71M, Pre-training=none2017.080.5885
DeepCrossFactors=256, Param#=25.42M, Pre-training=none2017.080.5907