Estudio Comparativo de algoritmos para predecir la deserción de los Estudiantes del ITSM - México (Comparative Study of Algorithms to Predict the Desertion in the Students at the ITSM-Mexico)

Arnulfo Gamaliel Hernández González (gamaliel_hg@hotmail.com)1, Roberto Ángel Meléndez Armenta (aarmenta@itsm.edu.mx)1, Luis Alberto Morales Rosales (lmorales@itsm.edu.mx)1, Abel Garcia Barrientos (abel.garcia@uaslp.mx)2, Jose Luis Tecpanecatl Xihuitl (jluis@ieee.org.)2, Ignacio Algredo (ignacio.algredo@uptlax.edu.mx)3


1Instituto Tecnológico Superior de Misantla
2Universidad Autonoma de San Luis Potosi
3Polytechnic University of Tlaxcala

This paper appears in: Revista IEEE América Latina

Publication Date: Nov. 2016
Volume: 14,   Issue: 11 
ISSN: 1548-0992


Abstract:
In this paper, a comparative study of predicting student dropout risks at the ITSM-Mexico (Instituto Tecnologico Superior de Misantla-Mexico) using SQL server is presented. This system uses the personal and academic information from the students at the ITSM. The comparative study is using four algorithms: logistic regression, clustering, decision trees and neuronal network, these take account the information in the database of the control school system of the institute. The results show that the logistic regression algorithm has a good agreement with experimental results.

Index Terms:
Algorithms, logistic regression, clustering, decision trees, neuronal network   


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