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Covid-19 Modeling

Machine Learning models w/ SHAP using CDC Case Surveillance public dataset Currently ongoing

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Contains >20M rows, 12 columns

Summary

Highest accuracy of model: 0.9729 XGBoost Classifier Features most significant in determining death from COVID:

  • Hospitalization
  • Current medical condition
  • Age
  • ICU admission

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Machine Learning models w/ SHAP using CDC Case Surveillance public dataset of COVID-19. Goal was to predict most significant features that cause death from COVID-19.

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