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Advantages of Decision Trees (1)

  • Decision trees are a white box model.

    If a given situation is observable in a model the explanation for the condition is easily explained by boolean logic. An example of a black box model is an artificial neural network since the explanation for the results is excessively complex to be comprehended.

  • Decision trees are robust, perform well with large data in a short time.

    Large amounts of data can be analysed using personal computers in a time short enough to enable stakeholders to take decisions based on its analysis.


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