A Comparison of Logistic Regression Model and Artificial Neural Networks in Predicting of Student’s Academic Failure

摘要

Background and objective:Artificial Neural Networks (ANNs) have recently been applied in situations where an analysis based on the logistic regression (LR) is a standard statistical approach; direct comparisons of the results, however, are seldom attempted. In this study, we compared both logistic regression models and feed-forward neural networks on the academic failure data set.