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kaggle criteo ctr challenge

License: MIT License

Jupyter Notebook 76.93% Shell 0.02% Makefile 0.13% C++ 22.01% Perl 0.36% C 0.54%
kaggle ffm fm deeplearning

kaggle_criteo_ctr_challenge's Introduction

kaggle criteo ctr challenge

这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。使用TensorFlow1.0和Python 3.5开发。

代码详解请参见jupyter notebook

本文使用GBDT、FM、FFM和神经网络构建了点击率预估模型。

网络模型

image

LogLoss曲线

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验证集上的训练信息

  • 平均准确率
  • 平均损失
  • 平均Auc
  • 预测的平均点击率
  • 精确率、召回率、F1 Score等信息

image

更多内容请参考代码,Enjoy!

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