University of Michigan - Ann Arbor

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1) Decision trees are easily explainable to others

2) Compared to other statistical methods like regression, some believe that trees are much more similar to human decision making

3) Decision trees can be displayed graphically, which make them easy to interpret

4) There is no need to create dummy variables when handling qualitative predictors


Advantages to Using Decision Trees

Which statements describe advantages of decision trees? (Select all that apply)

a) no feature normalization or scaling typically needed
b) Work well with datasets with a mixture of feature types (e.g. continuous, binary)


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