On The Comparison of Artificial Neural Network (ANN) and Multinomial Logistic Regression (MLR)

Abstract

This work presented the results of an experimental comparison of two models: Multinomial Logistic Regression (MLR) and Artificial Neural Network (ANN) for classifying students based on their academic performance. The predictive accuracy for each model was measured by their average Classification Correct Rate (CCR). The Average Classification Correct Rate for the Artificial Neural Network was higher than Multinomial Logistic Regression.

Keywords: Multinomial Logistic Regression, Artificial Neural Network, Correct classification rate.