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