All-Year Dropout Prediction Modeling and Analysis for University Students
The core of dropout prediction lies in the selection of predictive models and feature tables. Machine learning models have been shown to predict student dropouts accurately. Because students may drop out of school in any semester, the student history data recorded in the academic management system w...
Main Authors: | Zihan Song, Sang-Ha Sung, Do-Myung Park, Byung-Kwon Park |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/2/1143 |
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