数据挖掘---朴素贝叶斯（naive bayes）分类器

一、引例

C1：buys_computer=‘yes’
C2：buys_computer=‘no’
X=(age<=30,income=medium,student=yes,credit_rating=fair)

二、R语言实现

使用e1071包的naiveBayes函数

library(e1071)
data(iris)
m <- dim(iris)[1] 
val <- sample(1:m, size =round(m/3), replace = FALSE, prob= rep(1/m, m)) 

trainSet <- iris[-val,] 
testSet <- iris[val,]

nby<-naiveBayes(Species~.,trainSet)

testPre<-predict(nby,testSet)