Extracting information from a particular dataset in various sectors and transforms it into different useful form for a particular process is called data mining. The data mining will manipulate a data to establish patterns for making decisions in needy situations. This type of process in data mining will lead the researchers to evaluate N number of process. The growth of the country lies on the background of education system. Now educational data mining deals lot of issues that may lead different form of solutions. The main objective of this paper is to compare the different classification techniques using weka tool. Using a weka tool were Navies Bayes, J48, AdaBoostM1, LMT and SMO algorithms are utilized for performing classification techniques.

Data mining, Classification, Naïve bayes, J48, AdaboostM1, LMT and SMO

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