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ijcai-2017-competition's Introduction

The source files of my IJCAI-2017 Competition.

Dataset

Because user_pay.txt, user_view.txt and extra_user_view.txt are bigger than 100MB, it can't be pushed onto github, just look at the Get dataset part.

  • shop_info.txt: Shop's information.
  • user_pay.txt: User's pay history.
  • user_view.txt: User's view history.
  • extra_user_view.txt:A padding to the original user's view History.

Get dataset:

Task

According to Users' history data and shops' information, predict users' pay behavior int he next 2 weeks.

Result

We designed 5 models. the SVM model bring us our top score: 539/4058.

And the prediction loss on the dev set of every model is:

  • LR: 0.00553571428571
  • SVM: 0.00107142857143
  • KNN: 0.0166071428571
  • GBDT: 0.169285714286
  • RF: 0.0301785714286

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