A STUDY ON STUDENTS ACADEMIC PERFORMANCE ANALYSIS USING CLASSIFICATION AND PREDICTION TECHNIQUES USING DATA MINING TECHNIQUES IN ARAKKONAM HIGHER SECONDARY SCHOOL

ABSTRACT In recent years, the analysis and evaluation of students performance and holding the quality of education could be a important drawback altogether the educational institutions. The most essential objective of the paper is to analyze and evaluate the school students? performance by applying data mining classification algorithms" in weka tool. The information of mining tool has been generally accepted as a choice making tool to facilitate better resource utilization in terms of students performance. The varied classification algorithms may be specifically mentioned as J48, Random Forest, Native bayes ,Decision table and multidimensional language must be used. The results of such classification model deals with accuracy level, confusion matrices and conjointly the execution time. So conclusion may be reached that the Random Forest performance is healthier than that of various algorithms. Keywords: Data Mining, classification Rule Based, Random forest, J48, Knowledge Discovery