是否有一个库可以提供更好的决策树图片，或者是否有另一种方法可以让我的决策树在 R 中更易于阅读？

Question

I have a classification model using the c5.0 algorithm with a script like this. pola = C5.0(train_set[,-8], train_set[,8])

Then I display the decision tree with this script. plot(pola, type="s", main="Decision Tree")

And the results of the post give the writing attributes that overlap with each other like in this picture.

So, is there a library to provide a better tree picture or is there another way to make my tree easier to read? Thanks you.

Answer 1

The problem sees to be "size" rather than a bad decision tree graph. One option would be to save it as an image and open it externally with much greater size. Eg something similar to:

png(file = 'mytree.png', width = 920, height = 1260)
plot(pola, type="s", main="Decision Tree")
dev.off()
# Open directory with image (credit to [this answer][1])
if (.Platform['OS.type'] == "windows"){
    shell.exec(getwd())
} else {
    system(paste(Sys.getenv("R_BROWSER"), getwd()))
}

This of course this will make it so, that you might have to scroll around to see the individual parts of the tree.