Naïve Bayes: Machine Learning and Text Classification Application of Bayes’ Theorem

Abstract

This paper introduces the basics of classification and machine learning, as well as building an application of one classification model. The classification model chosen is based on Bayes’ Theorem and adapts it to handle large datasets. The paper also introduces a more meaningful precision-recall measure which is suited to machine learning algorithms.