Created
October 8, 2018 08:29
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5.1 PreClass
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| install.packages("tree") | |
| library("tree") | |
| library("ISLR") | |
| attach(Carseats) | |
| High = ifelse(Carseats$Sales <=8,"No","Yes ") | |
| Carseats = data.frame(Carseats, High) | |
| Carseats | |
| tree.carseats =tree(High~ CompPrice + Income +Advertising +Population +Price+ | |
| ShelveLoc +Age +Education +Urban +US, Carseats) | |
| summary(tree.carseats) | |
| plot(tree.carseats) | |
| text(tree.carseats ,pretty =0) | |
| set.seed(2) | |
| train=sample (1: nrow(Carseats ), 200) | |
| Carseats.test = Carseats[-train ,] | |
| High.test = High[-train] | |
| tree.carseats =tree(High~ High~ CompPrice + Income +Advertising +Population +Price+ | |
| ShelveLoc +Age +Education +Urban +US, Carseats ,subset=train) | |
| tree.pred = predict(tree.carseats , Carseats.test ,type="class") | |
| table(tree.pred ,High.test) | |
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