PREDICTING STUDENT PERFORMANCE OF DIFFERENT REGIONS OF PUNJAB USING CLASSIFICATION TECHNIQUES

Education is a key factor for achieving a long-term economic progress. Although the educational level of punjab has been improved in the last decades. But results can be more improved if little attention is paid .As competitive environment is prevailing among the academic institutions, challenge is to increase the quality of education through data mining. Student's performance is a great concern for academic institutions. To cope up with problems of education institutions, data mining techniques can provide solution and smooth functioning of data mining in best possible manner. These classification methods will be useful to identify the weak students and help them to score better marks. A variety of algorithms like C4.5, ID3 and CART can be applied to the study. In this study, C4.5 algorithm is applied on Student of different colleges of Punjab to predict their performance in the final examination. This algorithm is predicted whether the student is going to pass or fail in the final examination. If the outcome of this test is predicted as failure then extra earlier effort can be provided to the student which will improve his result. In context of result preparation various issues of Marks input, manipulation, retrieving and handling for proper analysis is done, through which next session planning is possible. The study has proved that the prediction algorithm helps to achieve better results.