Decision Tree Learning

When to Consider Decision Trees

  1. Instances describable by attribute-value pairs.
  2. Target function is discrete valued.
  3. Disjunctive hypothesis may be required.
  4. Possibly noisy training data.
  5. The training data may contain missing attribute values.

José M. Vidal .

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