Minh-Thanh Vo1, Trang Nguyen2, Tuong Le3,4,*
CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1555-1568, 2023, DOI:10.32604/cmc.2023.039334
Abstract The use of machine learning to predict student employability is
important in order to analyse a student’s capability to get a job. Based on
the results of this type of analysis, university managers can improve the
employability of their students, which can help in attracting students in
the future. In addition, learners can focus on the essential skills identified
through this analysis during their studies, to increase their employability. An
effective method called OPT-BAG (OPTimisation of BAGging classifiers) was
therefore developed to model the problem of predicting the employability of
students. This model can help predict the employability of students… More >
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