Classification models to recognize patterns of desertion in university students
Keywords:
Educational data mining, ID3 algorithm, C4.5 algorithm, Artificial neural network, Classification algorithms, Student desertionAbstract
University dropout is a problem related to both the student and the educational institution. This study proposes the use of classification models to find patterns and predict possible dropout cases. An application was implemented using university information to generate classification models through different algorithms (neural networks, ID3, C4.5). The C4.5 model showed the best results, with the ratio of approved credits to expected credits being the most significant variable.
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