Advantages and disadvantages of decision trees?

By Neha, 3 months ago
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What are the advantages and disadvantages of decision tree algorithm?

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Decision tree
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Advantages:

  • Compared to other algorithms decision trees requires less effort for data preparation during pre-processing.
  • A decision tree does not require normalization of data.
  • A decision tree does not require scaling of data as well.
  • Missing values in the data also do NOT affect the process of building a decision tree to any considerable extent.
  • A Decision tree model is very intuitive and easy to explain to technical teams as well as stakeholders.



Disadvantage:

  • A small change in the data can cause a large change in the structure of the decision tree causing instability.
  • For a Decision tree sometimes calculation can go far more complex compared to other algorithms.
  • Decision tree often involves higher time to train the model.
  • Decision tree training is relatively expensive as the complexity and time has taken are more.
  • The Decision Tree algorithm is inadequate for applying regression and predicting continuous values.

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