Comparative Study of Classification Algorithms
Course Recommender System in E-Learning is a system which recommend the course to the student based on the choice of various student collected from huge amount of data of courses offered through Moodle package of the college. Here, in this paper, the authors compare the five classification algorithm to choose the best classification algorithm for Course Recommendation system. These five classification algorithms are ADTree, Simple Cart, J48, ZeroR & Naive Bays Classification Algorithm. They compare these six algorithms using open source data mining tool Weka & present the result.