The demo program loads a 200-item set training data and a 40-item set of test data into memory. Next, the demo creates and trains a decision tree model using the DecisionTreeClassifier class from the ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...