Jake Brooks

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Jake Brooks

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  • Home
  • Life Expectancy Predictor
  • N.A.R.C. Fall Detection
  • Cerberus
  • MYH16 Research
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  • More
    • Home
    • Life Expectancy Predictor
    • N.A.R.C. Fall Detection
    • Cerberus
    • MYH16 Research
    • Boggle
    • Contact Me

  • Home
  • Life Expectancy Predictor
  • N.A.R.C. Fall Detection
  • Cerberus
  • MYH16 Research
  • Boggle
  • Contact Me

Life expectancy predictor

For this Project, I used a dataset with statistics on countries and regions such as HIV incidence and overweight percent of the population to predict the average life expectancy in a given country

Some Results

Using a Naive Bayes Classifier we attained over 90% accuracy in predicting whether a country would have above or below average life expectancy

WIth Random Forest, we broke 97% accuracy

Finally, using a simple linear regression, we were actually able to predict the value for life expectancy in each country with 70% accuracy (significantly more than expected for such a simple algorithm)

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