A Strategy for Detecting Malicious Spam Emails using various Classifiers

Today's society relies heavily on electronic mail as the primary method of exchanging essential information. Emails are a simple and quick way to share and receive electronic communication. Gmail, Hotmail, Yahoo! Mail, and Outlook are just a few software platforms and programs that may transmit and receive data. Spam emails have risen in tandem with the enormous increase in email usage. This paper proposes a strategy for detecting malicious spam emails using various classifiers, and compares typical Machine Learning algorithms based on accuracy, recall, and precision.