Data mining provides many tasks that could be used to study
the student’s performance. In this paper, the classification task
is used to evaluate performance of a student and as there are
many approaches that are used for data classification, the
decision tree and Naïve Bayes, MultiLayerPerception
methods was used here. For this study, recent real world data
were collected from different higher secondary schools in
Kancheepuram district. Two different sources, marks list and
questionnaires were used. Information’s like tenth grade,
study time, care at home etc., were collected from students
through questionnaire.