CTR Prediction on Frappe
0.9872AUCTF4CTR
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TF4CTR2024.05 | 0.9872 | — | — | — | 0.0001 | |
| QNN-α2025.05 | 0.9862 | — | 0.1313 | — | — | |
| FinalMLP + MMBAttnAttention Mechanism=MMBAttn2023.08 | 0.9861 | 0.061 | 0.1175 | — | — | |
| FinalMLPModel Type=two-stream2023.04 | 0.9861 | — | — | 0.0002 | — | |
| DeepFM + MMBAttnAttention Mechanism=MMBAttn2023.08 | 0.9857 | 0.15 | 0.1507 | — | — | |
| FinalMLP2023.08 | 0.9855 | — | 0.1487 | — | — | |
| EDCN + MMBAttnAttention Mechanism=MMBAttn2023.08 | 0.9852 | 0.051 | 0.1476 | — | — | |
| GDCN-PNetworks=GCN, DNN2023.11 | 0.9852 | — | 0.141 | — | — | |
| FinalMLP2025.05 | 0.9851 | — | 0.1472 | — | — | |
| DNN + MMBAttnAttention Mechanism=MMBAttn2023.08 | 0.985 | 0.15 | 0.1441 | — | — | |
| EDCNModel Type=two-stream2023.04 | 0.985 | — | — | 0.0005 | — | |
| STECType=Attention Based Models2023.08 | 0.985 | — | 0.1477 | — | — | |
| EulerNet2025.05 | 0.985 | — | 0.1331 | — | — | |
| ECN2025.05 | 0.9849 | — | 0.1587 | — | — | |
| AutoInt+2023.08 | 0.9848 | — | 0.149 | — | — | |
| AutoInt+Model Type=two-stream2023.04 | 0.9848 | — | — | 0.0008 | — | |
| FinalMLPType=Base Models2023.08 | 0.9848 | 0.0002 | 0.1484 | — | — | |
| RFM2025.05 | 0.9848 | — | 0.1476 | — | — | |
| EDCN2023.08 | 0.9847 | — | 0.1576 | — | — | |
| DualMLPModel Type=two-stream2023.04 | 0.9847 | — | — | 0.0004 | — | |
| FINAL(2B)2025.05 | 0.9847 | — | 0.1392 | — | — | |
| xDeepFMModel Type=two-stream2023.04 | 0.9845 | — | — | 0.0004 | — | |
| DCNv2Model Type=two-stream2023.04 | 0.9845 | — | — | 0.0004 | — | |
| xDeepFMType=Base Models2023.08 | 0.9845 | 0.0005 | 0.1466 | — | — | |
| DCNV2Type=Base Models2023.08 | 0.9845 | 0.0005 | 0.1491 | — | — | |
| xDeepFM2024.05 | 0.9845 | — | — | — | — | |
| DCNv22024.05 | 0.9845 | — | — | — | — | |
| PNN2025.05 | 0.9845 | — | 0.1405 | — | — | |
| xDeepFM2025.05 | 0.9845 | — | 0.1509 | — | — | |
| DCNv22025.05 | 0.9845 | — | 0.1484 | — | — | |
| DeepIMModel Type=two-stream2023.04 | 0.9844 | — | — | 0.0006 | — | |
| AOANetType=Base Models2023.08 | 0.9844 | 0.0006 | 0.1424 | — | — | |
| AutoInt+Type=Attention Based Models2023.08 | 0.9844 | 0.0006 | 0.149 | — | — | |
| MaskNetModel Type=two-stream2023.04 | 0.9843 | — | — | 0.0006 | — | |
| DeepFM2023.08 | 0.9842 | — | 0.1566 | — | — | |
| DeepFMModel Type=two-stream2023.04 | 0.9842 | — | — | 0.0002 | — | |
| DeepFMType=Base Models2023.08 | 0.9842 | 0.0008 | 0.1482 | — | — | |
| DESTINEType=Attention Based Models2023.08 | 0.9842 | 0.0008 | 0.1434 | — | — | |
| WideDeepModel Type=two-stream2023.04 | 0.9841 | — | — | 0.0008 | — | |
| AutoInt+2024.05 | 0.9841 | — | — | — | — | |
| EDCN2024.05 | 0.9841 | — | — | — | — | |
| AutoIntIntegrated with=DNN2025.05 | 0.9841 | — | 0.152 | — | — | |
| EDCN2025.05 | 0.9841 | — | 0.162 | — | — | |
| DCNType=Base Models2023.08 | 0.984 | 0.001 | 0.1491 | — | — | |
| DCN2023.08 | 0.9839 | — | 0.1527 | — | — | |
| DCNModel Type=two-stream2023.04 | 0.9839 | — | — | 0.0003 | — | |
| DeepIMType=Base Models2023.08 | 0.9839 | 0.0011 | 0.149 | — | — | |
| DCN2024.05 | 0.9838 | — | — | — | — | |
| DCNv12025.05 | 0.9838 | — | 0.1544 | — | — | |
| MaskNet2023.08 | 0.9837 | — | 0.1696 | — | — | |
| EDCNType=Base Models2023.08 | 0.9837 | 0.0013 | 0.1547 | — | — | |
| DeepFM2024.05 | 0.9837 | — | — | — | — | |
| DeepFM2025.05 | 0.9837 | — | 0.1575 | — | — | |
| DNN2023.08 | 0.9835 | — | 0.1605 | — | — | |
| Wide&DeepType=Base Models2023.08 | 0.9835 | 0.0015 | 0.149 | — | — | |
| Fibinet2023.08 | 0.9832 | — | 0.1941 | — | — | |
| MaskNetType=Base Models2023.08 | 0.9832 | 0.0018 | 0.1696 | — | — | |
| WideDeep2024.05 | 0.9832 | — | — | — | — | |
| Wide & Deep2025.05 | 0.9832 | — | 0.1525 | — | — | |
| MaskNet2025.05 | 0.9832 | — | 0.1916 | — | — | |
| IPNNType=Base Models2023.08 | 0.983 | 0.002 | 0.154 | — | — | |
| CL4CTR2024.05 | 0.9827 | — | — | — | — | |
| CL4CTR2025.05 | 0.9827 | — | 0.1559 | — | — | |
| AFN+Model Type=two-stream2023.04 | 0.9826 | — | — | 0.0014 | — | |
| AFN+2024.05 | 0.9819 | — | — | — | — | |
| AFNIntegrated with=DNN2025.05 | 0.9819 | — | 0.1598 | — | — | |
| EulerNet2024.05 | 0.9816 | — | — | — | — | |
| FEDNetworks=Concat., Att., DNN2023.11 | 0.9811 | — | 0.159 | — | — | |
| DNN2025.05 | 0.9811 | — | 0.1653 | — | — | |
| DCN-V2Networks=CN-V2, DNN2023.11 | 0.981 | — | 0.1539 | — | — | |
| FiBiNETType=Base Models2023.08 | 0.981 | 0.0041 | 0.1941 | — | — | |
| DeepFMNetworks=FM, DNN2023.11 | 0.9808 | — | 0.1613 | — | — | |
| AFN+Networks=AFN, DNN2023.11 | 0.9807 | — | 0.162 | — | — | |
| xDeepFMNetworks=CIN, DNN2023.11 | 0.9806 | — | 0.1638 | — | — | |
| DCNNetworks=CN, DNN2023.11 | 0.9805 | — | 0.1618 | — | — | |
| ParaMaskNetNetworks=MaskBlocks, DNN2023.11 | 0.9805 | — | 0.1559 | — | — | |
| NONNetworks=LR, Att., DNN2023.11 | 0.9803 | — | 0.1564 | — | — | |
| AutoInt+Networks=AutoInt, DNN2023.11 | 0.9802 | — | 0.1654 | — | — | |
| AFN+Type=Base Models2023.08 | 0.9802 | 0.0049 | 0.2139 | — | — | |
| WDLNetworks=LR, DNN2023.11 | 0.9801 | — | 0.1652 | — | — | |
| DNNNetworks=DNN2023.11 | 0.9794 | — | 0.1661 | — | — | |
| InterHAtType=Attention Based Models2023.08 | 0.9727 | 0.0126 | 0.1919 | — | — | |
| AFMType=Attention Based Models2023.08 | 0.9611 | 0.0249 | 0.2264 | — | — |