Predictive model to reduce the dropout rate of university students in Perú: Bayesian Networks vs. Decision Trees

Predictive model to reduce the dropout rate of university students in Perú: Bayesian Networks vs. Decision Trees

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. === This research proposes a prediction model that might help reducing the dropout rate of university students in Peru. For this, a three-phase predict...

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Bibliographic Details
Main Authors: Medina, Erik Cevallos, Chunga, Claudio Barahona, Armas-Aguirre, Jimmy, Grandon, Elizabeth E.
Format: Article
Language:English
Published: IEEE Computer Society 2021
Subjects:
Bayesian Networks
Decision Trees
Educational Data Mining
predictive analysis
university dropout
Online Access:http://hdl.handle.net/10757/656775

Internet

http://hdl.handle.net/10757/656775

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