Email Spam Detection Using Supervised Algorithms

Abstract

Nowadays, Email spam is very common and easy illegal phishing technique, which is used in various ways.It is one of the biggest threats to the Internet.There are so many anti-spam tools already out in the market but still its lacking due to the personalized spams.This paper help to identify the mail as ham or spam as it is a complete spam EDA with Supervised algorithms.This paper aims to compare different Supervised algorithms on the Spam email dataset to classify different Machine Learning techniques.We can evaluate them on the basis of accuracy, precision, recall, F1-score, as well as with AUC-ROC score.