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:
-
amelec, viloria
Pineda Lezama, Omar Bonerge
Varela Izquierdo, Noel
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5977
- Acceso en línea:
- https://hdl.handle.net/11323/5977
https://repositorio.cuc.edu.co/
- Palabra clave:
- Bayesian networks
Bayesian classifier
Educational analysis
Redes bayesianas
Clasificacion bayesiana
Analisis educacional
- Rights
- openAccess
- License
- CC0 1.0 Universal
| Summary: | 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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