Click Through Rate Prediction On Ipinyou
评估指标
AUC
LogLoss
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | AUC | LogLoss |
|---|---|---|
| memorize-factorize-or-be-naive-learning | 0.7825 | 0.005604 |
| product-based-neural-networks-for-user | 0.7661 | - |
| deep-learning-over-multi-field-categorical | 0.7619 | - |
| product-based-neural-networks-for-user | 0.7914 | - |
| product-based-neural-networks-for-user | 0.8174 | - |
| dcnv3-towards-next-generation-deep-cross | 0.7856 | 0.005535 |
| memorize-factorize-or-be-naive-learning | 0.7800 | 0.00564 |