• Ziyan Mohammed
• Mohammed Farhaz J A
• Mohammed Irshad M P
• Mustafa Basthikodi
• Ahmed Rimaz Faizabadi

The Email has become a form of communication that’s very reliable and people tend to use it to communicate for various purposes. Almost everyone among us who are into the technical world has an email address. Spams are no strange emails that is happened to almost all of us. To classify the Emails as spam or not spam we use Naïve Bayes and Support Vector Machine algorithms and then calculate their accuracy, precision, recall and F-measure. After getting these data we will compare them to know which algorithms are better performer in classifying the spam emails

Spam, Machine Learning Algorithms, Email Classification, Naïve Bayes, Support Vector Machine

"A Comparative Study for Spam Classifications in Email Using Naïve Bayes and SVM Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.391-393, May 2019, Available :http://www.jetir.org/papers/JETIRCU06077.pdf

"A Comparative Study for Spam Classifications in Email Using Naïve Bayes and SVM Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp391-393, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06077.pdf