A Boosted Random Forest Classification model was implemented to predict the outcome of the CoV-2 positive patients in China. Based on multiple features.
The original dataset was taken from: https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset
cvd
- data.csv -> original dataset
- train.csv -> training dataset (contains data for 'death' and 'recovered' columns)
- test.xlsx -> test dataset (does not contains data for 'death' and 'recovered' columns)
final.csv -> result obtained by running the model on test.xlsx
Steps to reproduce results:
- Place the 'cvd' directory in your Google Drive.
- Connect the Colab Notebook to Google Drive.
- Run the 'Covid-19 Patient Health Prediction.ipynb' file.