This article describe about Probabilistic Classification, which in particular, the archetypical naive Bayes classifier, are among the most popular classifiers used in the machine learning community and increasingly in many applications. Probabilistic classifiers provide classification with a degree of certainty, which can be useful in its own right, or when combining classifiers into ensembles. Probabilistic Classifiers are developed by assuming generative models which are product distributions over the original attribute space or more involved spaces. These classifiers are derived from generative probability models which provide a principled way to the study of statistical classification in complex domains such as natural language and visual processing.
Probabilistic Classification
