Predicting students' graduation outcomes through support vector machines

Published: Oct 1, 2017
Abstract
Low graduation rate is a significant and growing problem in U.S. higher education systems. Although previous studies have demonstrated the usefulness of building statistical models for predicting students' graduation outcomes, advanced machine learning models promise to improve the effectiveness of these models, and hone in on the “difference that makes a difference” not only on the group level, but also on the level of the individual student....
Paper Details
Title
Predicting students' graduation outcomes through support vector machines
Published Date
Oct 1, 2017
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