Bayesian classifier applied to higher education dropout
The research proposes a new simple Bayesian classifier (SBND) with Markov from the class variable to a network structure. Experimental tests are carried out by working a dropout analysis on students enrolled in the Faculty of Engineering Sciences of Mumbai University, in India in the period 2017-201...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2019 |
| País: | Colombia |
| Recursos: | Corporación Universidad de la Costa |
| Repositorio: | Repositorio REDICUC |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.cuc.edu.co:11323/5977 |
| Acesso em linha: | https://hdl.handle.net/11323/5977 https://repositorio.cuc.edu.co/ |
| Access Level: | acceso abierto |
| Palavra-chave: | Bayesian networks Bayesian classifier Educational analysis Redes bayesianas Clasificacion bayesiana Analisis educacional |
| Resumo: | The research proposes a new simple Bayesian classifier (SBND) with Markov from the class variable to a network structure. Experimental tests are carried out by working a dropout analysis on students enrolled in the Faculty of Engineering Sciences of Mumbai University, in India in the period 2017-2018 on the basis of socioeconomic data. The Weka tool is then used to perform the classification and the proposed model is statistically compared with other Bayesian classifiers. |
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