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README

  • preprocess.py: data cleaning, feature engineering
  • modelTraining.py: cross validation, submission generating, stacking preparing
  • classifiers.py: my encapsulation of xgboost
  • stack
    • StackNet.jar: stacking tools shared by KazAnova, repo is here
    • parse.py: tools for evaluate the cv scores during stacking.
    • utils.py: generating submission after StackNet
    • start.sh: commands for executing StackNet
    • params.txt: my params for stacking

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Summary of getting a silver medal in kaggle

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