Naive bayes: Is a classification technique that is based

Naive Bayes is a classification technique that is based on Bayes’ Theoremwith an assumption that all the features that predicts the target value are independent of each other. It calculates the ... Naive Bayes methods are a set of supervised learning algorithms based on applying Bayes’ theorem with the “naive” assumption of conditional independence between every pair of features given the value of the class variable. Some of these include: Gaussian Naïve Bayes (GaussianNB): This is a variant of the Naïve Bayes classifier, which is used with Gaussian distributions—i.e. normal distributions—and continuous variables. This model is fitted by finding the mean and standard deviation of each class. Naïve Bayes is a type of machine learning algorithm called a classifier. It is used to predict the probability of a discrete label random variable based on the state of feature random variables X.