Tip
To navigate the decision tree,
you can use the mouse and keyboard. Hold down the
Shift key
and click anywhere in the
Tree window to
move the decision tree within the window. Use your mouse’s
scroll wheel to zoom in and out of the decision tree. Scroll up to
zoom in, and scroll down to zoom out. The zoom is centered on the
position of your cursor.
The color of the
node in the icicle plot indicates the predicted level for that node. When you select a
node in either the
decision tree or the icicle plot, the corresponding node is selected in the other
location. When
you select a
leaf node, that node is selected in the
Leaf
Statistics window. A legend is available at the bottom
of the model pane.
Right-click outside of a node in the
Tree window to open a
pop-up menu. The first item in this menu is
Derive a Leaf ID
Variable. When you click this item, SAS Visual Statistics creates a
category variable that contains the
leaf ID for each
observation. You can use this variable as an effect in other models.
Right-click inside a node to open a different pop-up menu. The available menu options
depend on whether you clicked a leaf node.
For
leaf nodes, you can select from the following menu options:
Split
opens the
Split
Decision Tree window. Use this window to select the variable that is used to split the node. Click
OK to
split the node based on the selected variable. Click
Cancel to not split the node. Variables are sorted in
descending order by their
log worth.
Some variables are
not available for a split if the value of the split is too small or
the split would violate the Leaf size property.
Train
opens the Train
Decision Tree window. Use this window to train more than one level beyond the leaf node. First,
select every variable that you want to be available for training. Only those
variables selected in the Train Decision Tree window are available
for training. Specify the maximum depth of training in the Maximum
depth of subtree property. Click OK to train the decision tree.
For other
nodes, select
Prune to remove all nodes that follow the selected node. This turns the selected node into
a leaf node. After
pruning a node, you can select
Restore to
undo the
prune.