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.
- The training data may contain missing attribute
values.
- Problems in which the task is to classify examples into
one of a discrete set of possible categories are called
classification problems.
José M. Vidal
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