"""
### SHAP Features

Created additional feature using SHAP values. 
"""
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import os
print(os.listdir("../input"))
"""
### Resources

* [Python Business Analytics](https://github.com/firmai/python-business-analytics) - Python solutions to solve practical business problems. 
* [Industry Machine Learning](https://github.com/firmai/industry-machine-learning) - A curated list of applied machine learning and data science notebooks and libraries across different industries.
* [Business Machine Learning](https://github.com/firmai/business-machine-learning) - A curated list of practical business machine learning (BML) and business data science (BDS) applications.
* [Financial Machine Learning](https://github.com/firmai/financial-machine-learning) - A curated list of practical financial machine learning (FinML) tools and applications in Python.
* [Machine Learning Asset Management](https://github.com/firmai/machine-learning-asset-management) - Machine learning trading and portfolio optimisation models and techniques.
* [Newsletter](https://mailchi.mp/a0e3989a5dc4/firmaikaggle) -  Linkletter of all the recently uncovered projects in the open source industry machine learning space.
"""
"""
## File
"""
"""
https://colab.research.google.com/drive/1Pi6boPA-YHSKNwoB26LRIKwY-kXSVYw1
"""
sample_submission = pd.read_csv('../input/submission-transactions/submission.csv')
sample_submission.to_csv('submission.csv', index=False)