Naïve Bayes Classifier
Naïve Bayes Classifier Naïve Bayes is a conditional probability model: given a problem instance to be classified, represented by a representing some features ( independent variables ), it assigns to this instance probabilities for each of possible outcomes or classes . The problem with the above formulation is that if the number of features is large or if a feature can take on a large number of values, then basing such a model on probability tables is infeasible. The model must therefore be reformulated to make it more tractable. Using Bayes' theorem , the conditional probability can be decomposed as In plain English, using Bayesian probability terminology, the above equation can be written as In practice, there is interest only in the numerator of that fraction, because the denominator does not depend on and the values of the features are given, so that the denominator is effecti...