For my research, I am learning classification now.
I was trying some example about classification tree pakages, such as tree and rpart, for instance,
in Pima.te dataset have 8 variables (include class=type):
library(rpart)
library(datasets)
pima.rpart <- rpart(type ~ npreg+glu+bp+skin+bmi+ped+age,data=Pima.te, method='class')
plot(pima.rpart, uniform=TRUE)
text(pima.rpart)
summary(pima.rpart)
In the result I found only 5 variables: npreg, glu, bmi, ped, and age were showing in the plot.
Now, I have 50 variables in my dataset. The result my classification tree very difficult to know which
variables showing in the plot. Are there any trick which variables are showing in plot.
Thanks for your help. Muhammad Subianto
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