WIKI
In machine learning, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naive) independenceassumptions between the features.
公式
P(A|B)=(P(B|A)*P(A))/P(B)
P(类别|特征)=(P(特征|类别)*P(类别))/P(特征)
基本假设
后验概率最大化
极大似然估计
先验概率的极大似然估计
条件概率的极大似然估计
贝叶斯估计
条件概率的贝叶斯估计
先验概率的贝叶斯估计
朴素贝叶斯算法（naive Bayes algorithm）