Student Retirement Analysis Using Decision Tree Techniques

บทคัดย่อ

Abstract

This study presents the work of data mining in predicting the retirement feature of students by applying decision tree technique to choose the best model for prediction. Three widely used measures the quality of tree are recall rate,precision and F-measure. The results show 94.96 % of correction to predict the student’s retirement.

Keywords: retirement, data mining, decision tree, rule