A Decision Support System for Predicting Students’ Performance in the National Achievement Test (NAT) of Senior High School Students

Abstract

Using data from the National Achievement Test (NAT) and student grades for senior high school students at Central Mindanao University, this study developed a Decision Support System (DSS). EDM, or educational data mining, must be completed prior to constructing the DSS. Support Vector Machine (SVM) with the Sigmoid kernel, the method used for EDM, achieved an overall accuracy of 96% with respect to the model. The model was then deployed in the DSS and saved. Leveraging Educational Data Mining and Machine Learning Techniques in Designing Strategic Interventions for Senior High School Students in CMU is a funded study that served as the basis for this study's inspiration.