A binary classification problem is one where the goal is to predict ... Starting with all 200 training items, the decision tree algorithm scans the data and finds the one value of the one predictor ...

Note that when there are three or more possible values to predict (for example, predict political leaning), the problem is called multi-class classification, which typically uses different algorithms ...