Sparse Predictive Analytics on MovieLens (test)
0.4443RMSENFM
Evaluation Results
| Method | Links | |
|---|---|---|
| NFMFactors=256, Param#=23.31M2017.08 | 0.4443 | |
| Wide&DeepFactors=256, Param#=24.69M, Pre-training=FM feature embeddings2017.08 | 0.4512 | |
| NFMFactors=128, Param#=11.68M2017.08 | 0.4557 | |
| Wide&DeepFactors=128, Param#=12.72M, Pre-training=FM feature embeddings2017.08 | 0.4595 | |
| HOFMFactors=256, Param#=46.40M, Pre-training=random initialization2017.08 | 0.4636 | |
| LibFMFactors=256, Param#=23.24M, Pre-training=random initialization2017.08 | 0.4735 | |
| HOFMFactors=128, Param#=23.24M, Pre-training=random initialization2017.08 | 0.4752 | |
| LibFMFactors=128, Param#=11.67M, Pre-training=random initialization2017.08 | 0.4793 | |
| DeepCrossFactors=128, Param#=12.71M, Pre-training=FM feature embeddings2017.08 | 0.5084 | |
| DeepCrossFactors=256, Param#=25.42M, Pre-training=FM feature embeddings2017.08 | 0.513 | |
| Wide&DeepFactors=256, Param#=24.69M, Pre-training=none2017.08 | 0.5313 | |
| Wide&DeepFactors=128, Param#=12.72M, Pre-training=none2017.08 | 0.5323 | |
| DeepCrossFactors=128, Param#=12.71M, Pre-training=none2017.08 | 0.5885 | |
| DeepCrossFactors=256, Param#=25.42M, Pre-training=none2017.08 | 0.5907 |