Author(s): R. Dhanalakshmi, Dr. B. Umadevi

Today the educational qualities and standards of the colleges are needs to improve much in order to meet competitive challenges. The growth and success of the organizations are equally contributed by both students and faculties. The real role in academic performance of each student is more important for every teacher. In modern technical world, many statistical tools are available to caliber the students’ concert. But the tools may not produce analytical or evolutionary reports. In t his research the student’s performance is analyzed using the data mining techniques naïve bayes algorithm and Support Vector Machine (SVM).The investigation was conducted with different types of metrics.