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Student DataHack - Data Identity hackathon 2018 Hosted by Analytics Vidhya. ROC-AUC score 0.83+. 5th place solution

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Data-Identity

Student DataHack - Data Identity hackathon 2018 Hosted by Analytics Vidhya https://datahack.analyticsvidhya.com/contest/the-data-identity-2/

Tool:

  • Python 3.5

Libraries:

  • numpy 1.12.1
  • pandas 0.20.2
  • catboost 0.8.1

File-Folder structure:

.
|-- code
|   |-- final_model.py                 # final code file to run
|-- data
|   |-- train.csv                      # Train dataset file
|   |-- test.csv                       # Test dataset file
|   |-- submissions
|       |-- sample_submission.csv      # sample submission file
|-- docs
|   |-- document.docx                  # document of what approach has been used to solve this problem.
|-- readme.md

How to run code file:

  1. run final_model.py python file which is in code directory.
    python final_model.py
  • This file will use train.csv file for training a model and test.csv file for prediction.
  • After prediction sample_submission.csv file will be used for submission file format.
  • cat_sub.csv submission file will be created under data/submissions directory.

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Student DataHack - Data Identity hackathon 2018 Hosted by Analytics Vidhya. ROC-AUC score 0.83+. 5th place solution

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