algorithm - 朴素贝叶斯分类器中的 "naive"是什么？

Question

朴素贝叶斯的朴素是什么？

Answer 1

实际上有一个很好的例子on Wikipedia :

In simple terms, a naive Bayes classifier assumes that the presence (or absence) of a particular feature of a class is unrelated to the presence (or absence) of any other feature, given the class variable. For example, a fruit may be considered to be an apple if it is red, round, and about 4" in diameter. Even if these features depend on each other or upon the existence of the other features, a naive Bayes classifier considers all of these properties to independently contribute to the probability that this fruit is an apple.

基本上，它是“幼稚的”，因为它做出的假设可能正确也可能不正确。