Risk model for first semester student using logistic regression

被引：0
|
作者：
Din, A. M. [1 ]
机构：
[1] Univ Tekn Malaysia Melaka, Fac Technol Management & Technopreneurship, Durian Tunggal 76100, Melaka, Malaysia
来源：
PROCEEDINGS OF MECHANICAL ENGINEERING RESEARCH DAY 2017 (MERD) | 2017年
关键词：
Risk model; data mining; decision tree;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Diploma in Business Studies is a popular programme. However, more than 10 percent of the students failed to complete their studies on time, which is within six semesters. This study aims to identify factors that affect students' chances of graduating on time (GOT). This study uses logistic regression model and data split configuration. The predictive accuracies of the models in terms of misclassification rates and average squared error are compared. Hence, this study has proposed a methodology to predict at-risk students which can be adopted by other programmes and level of studies.
引用
收藏
页码：292 / 293
页数：2
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