Machine Learning Ecosystem to Enhance Grade Point Average

This study aims to 1) develop Machine Learning Ecosystem models enhance grade point averages, and 2) predict averages by modeling techniques, namely, Decision Trees (DT), Naïve Bayes (NB), a Neural Network (NN). Findings from an efficiency comparison of the three in predicting showed that DT achieved highest accuracy 100.00%. In contrast, NN second-highest 85.83%, NB lowest 81.67%. For F-Measure, F-Measure with DT, NN, was 100.00%, 76.59%, 70.59%, respectively. Thus, most appropriate model for students' GPA.