Summary continued

• Overfitting data is an important issue. Therefore methods for post-pruning are important.
• Very large variety of extensions: post-pruning, handling real-valued attributes, accommodating missing attribute values, incrementally refining decision trees, other attribute selection measures, considering costs associated with instance attributes (or target values).