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bigcomputing's Issues

训练结果Test AUC过高的问题

  1. 一般在ctr预测任务中,公开数据集auc很少能达到0.9以上,特别是这种真实的广告数据集,之前论文(如DIEN,DSIN等)一般为0.6-0.7之间。但是该数据集跑出来的结果甚至高于0.95,请问这是什么原因呢?
  2. 训练数据集有0-15共16个npz文件,源码中作者只使用了前15个文件,我测试了使用全部16个文件后发现一个很奇怪的点,当开始训练最后一个文件时,test auc会有十分显著的提升,DIN模型可以从0.92提升到0.95。但是train_auc确没有什么提高,这是由于数据集划分时用了测试数据吗?

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