Predicting Voter Behavior in Young Voters Using Machine Learning

Abstract

As election season approaches, understanding the
voting patterns of young voters becomes increasingly important.
Historically, young voters have had lower voter turnout rates
than older voters. Therefore, it is important to investigate factors
that influence young voters’ decision-making processes when it
comes to voting. Machine learning algorithms have proven to be
effective in analyzing large datasets and predicting outcomes. In
this study, we will apply machine learning techniques to a dataset
of young voters to predict their voting behavior.