Predicting the 2016 US Presidential Election
The purpose of this assignment was to utilize both the decision tree and k-nearest neighbor algorithms to retroactively predict the winner of the 2016 US Presidential Election using a modified version of Professor Allan Lichtman's 'Keys to the White House' for presidential elections from 1860 to 1980.