Decision Tree in R Split Train and Test set

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Transcript

Okay to create a decision tree in our programming we need to import our path every prop every so we need to install these two libraries or packages. Okay, let me to install Python pro library okay then we need to point this to library here. Okay. So you can poor sexy who maybe 100 Then alpha to maybe 72.7% and train or be less a simple one to N roles. data types and role data then a train set data train set to data miners train Okay, so in this code here, we set a C to one and then I'll probably set to 70%. So, we create I say, one two number of raw data, comma alpha times number of rows of data.

So we create here is we take 70% of the data is a training set. And 30% of the data is a testing set. Okay, so we can run the code here. Okay, so the error

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