Practical Implementation of Decision Tree using R Tool

 Practical 6: Practical Implementation of Decision Tree using R Tool

Step1: install.packages("party")

Step2:

# Load the party package. It will automatically load other dependent 

packages. 

library(party) 

# Print some records from data set readingSkills. 

print(head(readingSkills))

Step3:

# Load the party package. It will automatically load other dependent 

packages. 

library(party) 

# Create the input data frame. 

input.dat <- readingSkills[c(1:105),] 

# Give the chart file a name. 

png(file = "decision_tree.png") 

# Create the tree. 

output.tree <- ctree( 

nativeSpeaker ~ age + shoeSize + score,

data = input.dat)

# Plot the tree. 

plot(output.tree)

# Save the file. 

dev.off()