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Now-a-days the amount of data stored in educational database increasing. These databases contain hidden information for improvement of' performance. The performance in higher education in India is a point in the academics for all students. This academic performance is by many factors, therefore it is essential to develop predictive mining model for students' performance so as to identify the difference high learners and slow learners student. In the present investigation, experimental methodology was adopted to generate a database. The raw data preprocessed in terms of filling up missing values, transforming values in form into another and relevant attribute/ variable selection. As a result, had 300 student records, which were used for by Byes classification model construction. Keywords- Data Mining, Educational Data Mining, Model, Classification.
Bhardwaj et al. (Mon,) studied this question.