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Is there any limitation for number of class in decision tree classifier

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  • 319 1
    Can we classify any number of class using decision tree classifier?
      July 23, 2021 8:19 PM IST
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  • 67 3
    The maximum depth that you allow the tree to grow to. The deeper you allow, the more complex your model will become. For training error, it is easy to see what will happen. If you increase max_depth , training error will always go down
      July 30, 2021 10:25 PM IST
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  • 84

    The major limitations of decision tree approaches to data analysis that I know of are:

    1. Provide less information on the relationship between the predictors and the response.
    2. Biased toward predictors with more variance or levels.
    3. Can have issues with highly collinear predictors.
    4. Can have poor prediction accuracy for responses with low sample sizes.
      July 31, 2021 11:36 PM IST
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  • 126
    The major limitations of decision tree approaches to data analysis that I know of are:
    1. Provide less information on the relationship between the predictors and the response.
    2. Biased toward predictors with more variance or levels.
    3. Can have issues with highly collinear predictors.
    4. Can have poor prediction accuracy for responses with low sample sizes.
    Are there any others? Are they robust to traditional statistical assumptions such as homogeneity, normality, independence?
      August 7, 2021 7:02 PM IST
    0