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// instructions about running the code and the dataset and other relevant information. I recommend adding a brief about what the goal of the file is and what is the expected output. | ||
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The code for train test split is in a Jupyter notebook that depends on the dataset falldetection.csv in the dataset folder. | ||
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After viewing this, you can successfully | ||
1. Use sklearn library to perform a train test split | ||
2. How to resolve the issue of data imbalance | ||
3. Perform and evaluate cross validation results | ||
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How to run this code? | ||
Once you have cloned the repository, and assuming you have python installed follow these steps | ||
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1. Run jupyter notebook in your terminal ( root structure of this project ) | ||
2. Follow the folder structure and open Train_Test_Validation.ipynb | ||
3. Run each cell on the jupyter notebook using [shift + Enter] or the RUN cell on the top | ||
4. Make sure you have the dataset in the same directory as on the code, if not point it to the same directory | ||
5. Run every cell one by one to understand the output. ( Comments have been provided to help you walk through the output ) |
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