We can then precede the decision tree learner or predictor node with a "Color Manager" node where we assign specific colors to specific feature groups (see picture below).
The tree view then shows the proportions of the different clusters in each node or leave.
In the figure below we colored the nodes and leaves based on "Income": red for "Income <=50K" and blue for "Income >50K". "Income" was also the data column used for the desired class in the "Decision Tree Learner" node. From the decision tree view depicted below we can see that most unmarried people have an income <=50K.