The Applications of Machine Learning to Probability of Students Continuing to College

Abstract

We attempt to use machine learning to predict whether or not a student will end up going to college. The data that is provided are statistics such as whether their parents went to college, whether they live in a rural or urban area, and the students’ interest level of actually going to college. The main object of this project was to apply machine learning to accurately predict whether a student would continue to college. How this can be useful in the world is that based on certain statistics, a student can see if they are more likely to pursue college or if they are more likely to not continue to college. The conclusions were that the model had been trained to predict pretty accurately.