What are the advantages and disadvantages of decision tree algorithm?

769    Asked by AshishSinha in Data Science , Asked on Nov 9, 2019
Answered by Ashish Sinha

Advantages

  1. Decision tree is comprehensive in nature as it forces the consideration of all possible outcomes of a decision and traces to a conclusion
  2. In monetary problems where decision tree assigns specific values to attain an outcome, this algorithm reduces uncertainty, clears up ambiguity and clarifies the financial consequences of various courses of action
  3. It is very easy to use and implement algorithm and uses the same pattern of thinking that human being uses while making decision

Disadvantages

  1. A small change in data can lead to a large change in optimal decision tree
  2. They are relatively inaccurate compared to other algorithms
  3. Information gain is biased when data contains categorical variables with different numbers of levels.
  4. Algorithm can be complex if the outcomes are linked



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