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bankruptcy_prediction_sh8y's Introduction

Bankruptcy Prediction

For Data Preparation, Under src/data folder run python data_generation.py. For Prediction, Under src folder run python bankruptcy_prediction.py.

Running Prediction will run Prediction using 6 different models and displays variour performance metrics graphs and Table.

Setup for Coding Parts

  1. Install Miniconda
  • Conda is a package manager that sandboxes your project’s dependencies in a virtual environment
  • Miniconda contains Conda and its dependencies with no extra packages by default (as opposed to Anaconda, which installs some extra packages)
  1. Extract the zip file and run conda env create -f environment.yml from inside the extracted directory.
  • This creates a Conda environment called cs229_project
  1. Run source activate cs229_project
  • This activates the cs229 environment
  • Do this each time you want to write/test your code
  1. (Optional) If you use PyCharm:
  • Open the src directory in PyCharm
  • Go to PyCharm > Preferences > Project > Project interpreter
  • Click the gear in the top-right corner, then Add
  • Select Conda environment > Existing environment > Button on the right with
  • Select /Users/YOUR_USERNAME/miniconda3/envs/cs229_project/bin/python
  • Select OK then Apply

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Contributors

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