Classification algorithms try to predict the class or the label of the categorical target variable. A categorical variable typically represents qualitative data that has discrete values, such as pass/fail or low/medium/high, etc. Out of the many classification algorithms, the Naïve Bayes classifier is one of the simplest classification algorithms. The Naïve Bayes classifier is often used with large text datasets among other applications. The aim of this article is to explain how the Naive Bayes algorithm works.
Jan-25-2022, 08:31:07 GMT