## 21.9 Rattle View Decision Tree

Click the Draw button to display the decision tree. A visual representation is often simpler to understand.

For a classification tree as we have here colour is used to differentiate the predicted (majority) class for each node. For our example the class/decision No is green and Yes is blue. The intensity of the colour indicates the strength of the prediction which is proportional to the percentage of the majority class within that node.

The root node (node number 1) has 84% No and 16% Yes and so is reported as a No decision or class. That is, in the absence of any other information, we predict that it will not rain tomorrow, and expect that prediction to be 84% correct.

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