Construction of a Prediction Model of the Shortest Annual Graduation by Machine Learning Using Learning Environment Data
Poster Demonstration
ID: 53582
Abstract: This paper study to predict whether students can graduate in four years at an early stage using machine learning. Four data sets are made from students' data containing Academic results and data before enrollment. Using these data sets, classification analysis by three machine learning algorithm and discrimination analysis were compared in Recall rate. It will be showed that it is useful to use data set containing academic results in the end of sophomore year and data before enrollment.
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