About this document

Project by Rathika Goapalakrishanan is a document available to read on EtoBox.

This document outlines a project on email classification for spam detection using text mining and data mining classification algorithms. It describes the process of preparing training and test datasets, feature extraction, and applying various classifiers, with the k-NN method achieving the highest accuracy of 94.5%. The project highlights the importance of distinguishing between spam and ham emails to enhance email communication efficiency.

Author

Rathika Goapalakrishanan

Language

EN