Data Science/R
[R] Tree-Based Methods : Advantages and Disadvantages of Tree
See_the_forest
2022. 11. 27. 11:55
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.