A Predictive Analytics Approach in Determining the Predictors of Student Attrition in the Higher Education Institutions in the Philippines
Author:
Affiliation:
1. Misamis University Ozamiz City, Philippines
2. Misamis University Ozamiz City
3. Misamis University Oroquieta City, Philippines
4. Misamis University Oroquieta City
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3378936.3378956
Reference26 articles.
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2. Predicting Engineering Student Attrition Risk Using a Probabilistic Neural Network and Comparing Results with a Backpropagation Neural Network and Logistic Regression
3. Navigating the Storm: Integrative Review of Attrition Factors Among Undergraduate Nursing Students;De Leon C. T. T.;Health Notions,2018
4. Braga V. Hortenzi L. F. dos Santos F. Bastos N. M. Carlos de Toledo J. de Albuquerque A. A. & Bernedo Gonzales J. F. (2018). Influential factors in student retention: a study involving undergraduate students in Accountancy. Revista de Educação e Pesquisa em Contabilidade 12(3). Braga V. Hortenzi L. F. dos Santos F. Bastos N. M. Carlos de Toledo J. de Albuquerque A. A. & Bernedo Gonzales J. F. (2018). Influential factors in student retention: a study involving undergraduate students in Accountancy. Revista de Educação e Pesquisa em Contabilidade 12(3).
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