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
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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