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Decision Tree Advantages

Easy to understand

Map nicely to a set of business rules

Applied to real problems

Make no prior assumptions about the data

Able to process both numerical and categorical data

Decision Tree Disadvantages

Output attribute must be categorical

Limited to one output attribute

Decision tree algorithms are unstable

Trees created from numeric datasets can be complex

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16y ago
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9y ago

These can help you to consider the consequences of a given action. It can sometimes be difficult to come up with the right expectations using them to make decisions.

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11y ago

decision tree
decision table

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Q: List the advantages and disadvantages for both decision table and decision tree?
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