KnowraNaive Bayes classifierLinked fromLinked fromThe 8 pages that link to Naive Bayes classifier, each with the reason it gives.All 8Broader topic 2Related 4Compared with 2Bayesian inferenceBroader topic: It converts feature evidence into class probabilities with a simplifying independence assumption.Maximum likelihood estimationRelated: Its class-conditional probabilities can be learned by likelihood-based parameter fitting.Bayesian statisticsBroader topic: It turns posterior class probabilities into a simple and widely used prediction rule.Bayesian networksCompared with: It is a restricted Bayesian-network model with a simple, strong independence assumption.Logistic regressionCompared with: It estimates class probabilities through a different set of assumptions and calculations.Independent random variablesRelated: Its defining simplification factors feature likelihoods given the class.Dirichlet distributionRelated: Dirichlet priors can smooth its categorical feature-probability estimates.Maximum a posteriori estimationRelated: Classification can choose the class with greatest posterior probability, a discrete MAP decision.