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.
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