Predictive models assessment based on CRISP-DM methodology for students performance in Colombia - Saber 11 Test
The purpose of this paper is to evaluate several machine learning models under the CRISP-DM methodology in order to determine, through its metrics, the best model for predicting the performance of high school students in the Colombian Caribbean region in the Saber 11º test, while proposing a new met...
- Autores:
-
Acosta-Solano, Jairo
Lancheros Cuesta, Diana Janeth
Umaña Ibáñez, Samir F.
Coronado-Hernandez, Jairo R.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9221
- Acceso en línea:
- https://hdl.handle.net/11323/9221
https://doi.org/10.1016/j.procs.2021.12.278
https://repositorio.cuc.edu.co/
- Palabra clave:
- CRISP-DM methodology
Education
Learning models
National education system
Predictive models
- Rights
- openAccess
- License
- © 2021 The Authors. Published by Elsevier B.V