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CLASSIFICATION AND REGRESSION TREES OF THE ACADEMIC PERFORMANCE OF MSU-TCTO STUDENTS
Keywords:
regression tree, classification treeDOI:
https://doi.org/10.17654/0972361724066Abstract
This study focuses on classification and regression trees (CART) in classifying data. The dependent variable used in this study is CGPA, with the predictor variables: course, ethnic group, grades, scholarships, and year level. The data used in this study were the 519 students enrolled in MSU-TCTO during the first semester of the academic year 2021-2023, excluding those taking up Master’s Degree, General Education, and Diploma of Office Management. The statistics show that the regression tree is better than the classification tree by 15.43% in the students’ mean square error (MSE). Still, on a tree model basis, the classification tree is more accessible to explain because it has few nodes and a smaller tree structure.
Received: November 26, 2023
Revised: July 22, 2024
Accepted: July 30, 2024
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