Click Through Rate Prediction On Frappe
评估指标
AUC
评测结果
各个模型在此基准测试上的表现结果
模型名称 | AUC | Paper Title | Repository |
|---|---|---|---|
| FinalMLP | 0.9861 | FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction | |
| FinalMLP + MMBAttn | 0.9861 | MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction | - |
| TF4CTR | 0.9872 | TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation | |
| AFN+ | 0.9783 | Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions | |
| DNN + MMBAttn | 0.985 | MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction | - |
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