DEVELOPMENT OF PREDICTIVE DECISION SUPPORT SYSTEM FOR STUDENT GRADUATION USING DECISION TREE ALGORITHM

摘要

Decision tree algorithm is one of the most popular classification algorithms in supervised learning that has been applied in many areas including mining academic data. One of the main issues under educational data mining is student graduation. In the Philippines According to Philippine Authority of Statistics, there is an imbalance between the student enrollment and student graduation. Students who are full time freshman students do not graduate on time. The study focused on the application of the decision tree algorithm in predicting student graduation by generating rules sets that could early predict and identify students who are prone of not having graduation on time, so proper remediation and retention policies can be formulated and implemented by institutions.