DECISION TREE
Decision tree is a graph to represent choices and their
results in form of a tree. The nodes in the graph
represent an event or choice and the edges of the graph
represent the decision rules or conditions. It is mostly
used in Machine Learning and Data Mining applications
using R.
We will use the ctree() function to create the decision
tree and see its graph.
# 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()
