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Santander Product Recommendation - 8th place

Caution

  • make_data() step in main.py needs 30GB of memory but it can be optimized.

This code produces 3 submissions

  • xgboost - 0.03061 public LB
  • lightgbm - 0.03059 public LB
  • xgboost+lightgbm - 0.03063 public LB

Steps

  • place train_ver2.csv, test_ver2.csv to ../input/
  • install pandas, scikit-learn, numpy, xgboost, lightgbm (or comment out lightgbm part) libs for python3
  • set proper number of threads in engines.py
  • ./run.sh

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