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Using Decision Tree to Predict Drinking of Middle School Students

CHUANG,YI CHIEH
Private Chinese Culture University of Information Management Student

LIN,YUN PAO
Private Chinese Culture University of Computer Science and Information Engineering Student

HUANG,CHIEN SHUN
Private Chinese Culture University of Information Management Professor

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Abstract

According to domestic and foreign research, the alcohol-drinking condition of middle school students is becoming more and more common and causing a number of social incidents. Many relevant researches even pointed out that alcohol-drinking age has become younger. Besides, for students who are still in their development stage, alcohol is harmful to physical and psychological health. The purpose of this study is to understand and find the factors about the middle school students drinking problem and learning situation.Through the questionnaire and data collection from Portugal students. We use data mining technology to analyze the factor of students drinking problem between family and friends, and establish a decision tree to predict students drinking problem. The accuracy of the prediction model reaches as high as 84.0%. Hoping the proposed model can be used to help the concerned department discover the student with drinking problem earlier.

Keywords :Student alcohol consumption prediction, Students drinking factors, decision tree