Lab 4G
Directions: Follow along with the slides and answer the questions in red font in your journal.
titanic
data.tree()
function to create a classification tree that predicts whether a person survived
the Titanic based on their gender
.
tree
is similar to that of the lm()
function.tree1
.survived
or not based on their gender
?tree1
, place the model into the treeplot
function.
treeplot
:
gender
does the model predict will survive?tree
that predicts whether a person survived
based on their gender
, age
, class
, and where they embarked
.
tree2
.treeplot
for this model and answer the following question:
tree
?tree()
function will fit a tree model that will make good predictions without needing lots of branches.cp
, which equals 0.01
by default.minsplit
, which equals 20
by default.tree2
, create a model named tree3
but include cp = 0.005
and minsplit = 10
as arguments.
tree3
different from tree2
?data
function to load the titanic_test
data.titanic_test
data survived or not using tree1
.tree1
, tree2
or tree3
) had the lowest misclassification rate for the titanic_test
data?tree2
. This time though, change the complexity parameter to 0.0001
. Then answer the following