Click Through Rate Prediction On Frappe
평가 지표
AUC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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