Creating a Dataset:
There are two ways to acquire a dataset to build a decision tree for:
To load a sample dataset:
Creating and Testing a Decision Tree:
Now that you have a dataset ready, select the "Solve" tab at the top of the message panel (below the toolbar). There are two ways to build a decision tree:
The other node options: "View Node Information," "View Mapped Examples," and "Toggle Histogram" can be used to gain information about the data at a particular node to guide your splitting.
Before or anytime during the construction a decision tree, you may wish to click the "Show Plot" button to view the changes in training set and test set error as the tree is built.
Once the decision tree is built, you can now test your decision tree to see how well it could classify the test examples. This will open a window that shows which examples were correctly predicted, which were incorrectly predicted, and those for which the tree cannot make a prediction. The pie chart at the bottom provides a quick indication of the decision tree's performance.
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