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vol.11 issue3Determining Factors of University Dropout. A Case of the Faculty of Economy and Administration Sciences of the Catholic University of the Most Holy Conception (Chile) author indexsubject indexarticles search
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Formación universitaria

On-line version ISSN 0718-5006

Abstract

RAMIREZ, Patricio E.  and  GRANDON, Elizabeth E.. Prediction of Student Dropout in a Chilean Public University through Classification based on Decision Trees with Optimized Parameters. Form. Univ. [online]. 2018, vol.11, n.3, pp.3-10. ISSN 0718-5006.  http://dx.doi.org/10.4067/S0718-50062018000300003.

The aim of this study is to present a classification based on decision trees (DTBC) with optimized parameters to predict the dropout rate of university students. The study analyses 5288 cases of students belonging to a Chilean public university. For the CBAD technique, the parameters were optimized to improve the prediction using the software RapidMiner. The result of the application of this technique with optimized parameters achieved a precision rate of 87.27%. It is concluded that the use of DTBC technique with parameter optimization results in a better precision compared to other research with similar number of data.

Keywords : student dropout; classification based on decision trees; optimization.

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