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WSDM2022留存预测挑战赛 第1名解决方案

Jupyter Notebook 93.90% Python 6.10%

wsdm2022-retention-score-prediction's Introduction

WSDM2022-Retention-Score-Prediction

WSDM2022留存预测挑战赛 第1名解决方案

赛题链接:http://challenge.ai.iqiyi.com/detail?raceId=61600f6cef1b65639cd5eaa6

解决方案blog:https://zhuanlan.zhihu.com/p/462736790?

1. 环境配置

  • python--3.8
  • scipy==1.7.1
  • pandas==1.3.2
  • numpy==1.19.5
  • lightgbm==2.0.0
  • catboost==0.25.1
  • xgboost==1.2.1
  • torch==1.9.0+cu111
  • deepctr-torch==0.2.7
  • tensorflow-decison-forests==0.2.2

2. 目录结构

./
├── README.md
├── get_features.ipynb
├── get_sequence.ipynb
├── cnn_binary_0.ipynb
├── cnn_binary_7.ipynb
├── tfdf_online.ipynb
├── inference.ipynb
├── function.py

4. 运行流程

  • 安装环境
  • 创建data、features和res文件夹,将a榜和b榜数据集解压后放到data目录下
  • 依次运行get_features.ipynb,get_sequence.ipynb,cnn_binary_0.ipynb,cnn_binary_67.ipynb, tfdf_online.ipynb, inference.ipynb,最终结果生成在在res文件夹中

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