Sparse Predictive Analytics on Frappe (test)
0.3095RMSENFM
Evaluation Results
| Method | Links | |
|---|---|---|
| NFMFactors=256, Param#=1.45M2017.08 | 0.3095 | |
| NFMFactors=128, Param#=0.71M2017.08 | 0.3127 | |
| Wide&DeepFactors=256, Param#=4.66M, Pre-training=FM feature embeddings2017.08 | 0.3246 | |
| Wide&DeepFactors=128, Param#=2.66M, Pre-training=FM feature embeddings2017.08 | 0.3311 | |
| HOFMFactors=256, Param#=2.76M, Pre-training=random initialization2017.08 | 0.3331 | |
| LibFMFactors=256, Param#=1.38M, Pre-training=random initialization2017.08 | 0.3385 | |
| DeepCrossFactors=128, Param#=4.47M, Pre-training=FM feature embeddings2017.08 | 0.3388 | |
| HOFMFactors=128, Param#=1.38M, Pre-training=random initialization2017.08 | 0.3405 | |
| LibFMFactors=128, Param#=0.69M, Pre-training=random initialization2017.08 | 0.3437 | |
| DeepCrossFactors=256, Param#=8.93M, Pre-training=FM feature embeddings2017.08 | 0.3548 | |
| Wide&DeepFactors=128, Param#=2.66M, Pre-training=none2017.08 | 0.3621 | |
| Wide&DeepFactors=256, Param#=4.66M, Pre-training=none2017.08 | 0.3661 | |
| DeepCrossFactors=128, Param#=4.47M, Pre-training=none2017.08 | 0.4025 | |
| DeepCrossFactors=256, Param#=8.93M, Pre-training=none2017.08 | 0.4071 |