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E-mail is one of the important and economical communication media to transfer the information from one person to others. Due to increase number of E-mails resulted drastic increases spam E-mail. In this research work, we have used various classification techniques to classification of spam E-mail and non spam E-mails. The experiment done in Tanagra data mining tool. We have recommended the Multilayer perceptron (MLP) as a best classifier for classification of spam which gives 93.15% accuracy with 10-fold cross validation.

Performance Evaluation of Data Mining based Classifier for Classification of Spam E-Mail