Performance Assessment of Different Classification Techniques

In Data mining, Classification of data is very emblematic task. Given a vector of attributes, to predict the value of selected discrete class variable correctly is the goal of Classification. The main objective of this work is from the performance evaluation of different classifiers of data mining techniques to find the best classifier. A study has been conducted during December 2016-January 2017 with different category respondents of 1023. The questionnaire was designed to collect the factors about common cyber crime threats among the various sectors respondents in and around Chennai. For the purpose of concluding best classifier among different classifiers, the WEKA tool is used. In this study, J48, BayesNet, RandomForest, Logistic classifiers were used for the purpose of analyzing the best classifier for the cyber crime dataset. The Classification technique that has latent to extensively advance the common or predictable methods will be recommended for use in many sectors.