R语言朴素贝叶斯分类上机指导.doc

R语言朴素贝叶斯分类上机指导.doc朴素贝叶斯分类上机指导一、实验目的:1•掌握矩阵数据的输入,输出,以及矩阵和数据框数据的转换,认识一下list型数据。2•理解并掌握朴素贝叶斯分类原理。3•会使用klaR包中的NaiveBayes()函数实现贝叶斯分类算法。二、实验内容:本实验利用朴素贝叶斯分类方法对课本P144页playtennis数据集建立模型并预测。三、实验步骤:1・将课本P144页playtennis数据以矩阵形式输入,注意理解下面红色代码。data<-matrix(c(”sunnyThot”,”high”,”weakTno”,',sunny,,/,,hot,7,highn/,,strong,,,,,no,,/Hovercast,7,hot,7,high,7,weak,,;,yes,,/,,rain,7,mild,7,high,7,weak,,;,yes,,/,,rain,7,cool,,;,normal,7,weak,7'yesH,,,rain,,/,,cool,7,normal,7,strong,,,"no,\,,overcastn,,,cool,,,,,normal,,;'strong,,;'yesH,nsunny,7,mild,7,high,7,weak,7,no,,/,,sunny,,/,,coor,;,normal,,;,weak,,/,,yes,,/,,rain,,/,,mild,,;'normar,;,weak,,;,yes,,/”sunnyTmild”,Formal”,“strongTyes”,Movercast,,/,,mild,7,high,7,strong'7,yes,,/"overcast",,,hot,7,normal,7,weak,7,yes,,/,,rain,7,mild,7,high,7,strong,7,no,,Lbyrow=TRUE,dimnames=list(day=c(),condition=c("outlook"/'temperature,',,,humidity,7,wind";,playtennis,,))/nrow=14,ncol=5);#上网査询dimnames的用法#输出一下data数据:#将矩阵转化成数据框datal<-(data)dataloutlooktemperaturehumiditywindplaytennis1sunnyhothighweakno2sunnyhothighstrongno3overcasthothighweakyes4rainmildhighweakyes5raincoolnormalweakyes6raincoolnormalstrongno7overcastcoolnormalstrongyes8sunnymildhighweakno9sunnycoolnormalweakyes10rainmildnormal weakyes11sunnymildnormalstrongyes12overcastmildhighstrongyes13overcasthotnormal weakyes14rainmildhighstrongno#将手动输入的数据保存成txt文件>(datal/file="',/sep="")#可以重新读入