Improving students' motivation to study using salary prediction system

Abstract

This paper proposes a salary prediction system for increasing students' motivation in studying. A decision tree technique is used to generate a prediction model with seven features. We evaluated the system efficiency using 13,541 records of graduated student data in 10-fold cross validation. An accuracy result in overall is 41.39%. Furthermore, we exploit… (More)

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