Using Machine Learning to Predict High School Student Employability – A Case Study

Abstract

In this paper, we explore the use of supervised machine learning models to predict the employability of high school students with local businesses for part-time jobs. We further compare the performance of trained models used in this analysis to one another. Empirical results show that it is possible to predict the employability of high school students with local businesses with high-predictive accuracies. The trained predictive models perform better with larger dataset, with up to 93% accuracy.