SOLVED:Suppose that a Bayesian spam filter is trained on a set of 1000 spam messages and 400 messages that are not spam. The word “opportunity” appears in 175 spam messages and 20
Bayesian filter for dummies - ThinkAutomation
Research and Improvement of a Spam Filter Based on Naive Bayes | Semantic Scholar
The components of a Case-Based spam filtering system. | Download Scientific Diagram
A Naive Bayesian Spam Filter for C# - CodeProject
Proposed efficient algorithm to filter spam using machine learning techniques - ScienceDirect