EVALUATION OF VARIOUS CLASSIFICATION TECHNIQUES OF WEKA USING DIFFERENT DATASETS
Ramesh Prasad Aharwal · International journal of advance research and innovative ideas in education · 2016
In this paper we have compared various classification methods using UCI machine learning dataset under WEKA. We have used three measuring factors which names are Accuracy, kappa statistics and mean absolute error for execution by each technique is observed during experiment. This work has been carried out to make a performance evolution of J48, Multilayerperceptron, Naive Bayes and SMO classifier. On Account of this work we have used four type of secondary data.