About this document
Naive Bayes for Email Classification by abbiha.mustafamalik is a document available to read on EtoBox.
The document discusses using a Naive Bayes classifier to classify emails as spam or not spam. It contains the following key points in 3 sentences: 1) The dataset contains email messages and their words as features, with the target being the classification as spam or not spam. It is split into training and test sets. 2) The Naive Bayes algorithm works by calculating word probabilities from the training set, and then uses Bayes
- Author
- abbiha.mustafamalik
- Language
- EN