When to Consider Decision Trees

• Instances describable by attribute-value pairs
• Target function is discrete valued
• Disjunctive hypothesis may be required
• Possibly noisy training data

Examples:

• Equipment or medical diagnosis
• Credit risk analysis
• Modeling calendar scheduling preferences