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Team: Uni Gadjah Mada 1. Our attempts and solutions for prudsys' Data Mining Cup 2016
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chats
notebook
notes
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.gitignore
README.md
Seleksi Fitur, RFE and PCA.ipynb
dmc16-rilut.ipynb
dmc16-template.ipynb
makeDatasetFarah.ipynb
makeDatasetWithAlteredValidationSet.py
makeDatasets - automated probability combination .ipynb
makeDatasets.ipynb
make_dataset_pake_season.ipynb
make_datasets.py
make_train_dataset_only.py
make_train_only_rilut.py
weekday.zip

README.md

Team members

Notes on team submissions

  • prediksi 15% data training tanpa dibulatkan ke integer, dari model yang dilatih dengan 85% data training
  • pastikan 15% data tersebut tidak mengalami dropna. (data 85%-nya terserah deh kalau mau di-dropna asal yakin)
  • prediksi data testing, dari model yang dilatih dengan 100% data training
  • pastikan data testing tidak mengalami dropna. jumlahnya harus 341099.
  • pemilihan fitur bebas. hindari leaking.
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