Decision Trees

In this assignment, you will apply decision trees to a data set. The data we will be using for this exercise is cardiotocographic data. To begin import the data set.

data $<-$ read.table$("$cardiotocographic$.$txt$",$ header $=$ TRUE, sep $=",")$

str$($data$)$

Next factor the NSP column using factor$()$ and saved the factored data to a new column, NSPF$.$

Student's answer$($Top$)$

# Import the data set

data $<-$ read.table$("$cardiotocographic$.$txt$",$ header $=$ TRUE, sep $=",")$

# Check the structure of the data

str$($data$)$

# Factor the NSP column and save it to a new column NSPF

data$NSPF $<-$ factor$($data$NSP$)$

Grade cell: cell$-9$e$72$e$4$c$1509263$b$5$Score: $100\mathrm{.}0/100\mathrm{.}0($Top$)$

Hidden Tests Redacted

Congratulations! All test cases in this cell passed.

Now, partition the data into training and testing $($validation$)$ data sets.