Using the adult dataset, this workflow performs binary classification (income > or < 50K) using a Decision Tree. The target is the income column, either <=50K or <50K, predicted using the other demographic attributes. After partitioning the original dataset into training set and test, the decision tree is builkt on the training set and the final performance is evaluated on the test set using the Scorer node.