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Data Science/R

[R] Tree-Based Methods : Advantages and Disadvantages of Tree

Advantages

  • Trees are very easy to explain to people.
  • Decision trees more closely mirror human decision-making than do the regression and other classification approaches.
  • Trees can be displayed graphically, and are easily interpreted.
  • Trees can easily handle qualitative predictors without the need to create dummy variables.

Disadvantages

  • Trees do not have the same level of predictive accuracy as some of other regression and classification approaches.
  • Using aggregating many decision trees can improve the predictive performance of trees.