Enhancing the capabilities of Student Result Prediction System

In the age of information and communication technology, technology is being used in every domain. Education is the integral part of our society consisting of the teaching, learning and evaluation process. Information and communication technologies are being used for the purpose of e --learning, measuring student's learning, course design, student performance evaluation e.t.c. Using machine learning techniques performance of the students has been studied and useful results have been derived. Predicting the performance of a student accurately in the upcoming exam is of extreme significance. Every machine learning tool heavily depends upon the input data. Studying and implementing the elaborate feature set for students has improved the accuracy of the prediction system. Further use of preprocessing techniques along with classification algorithms has significantly improved the results of the prediction system.