Do we require Feature Scaling for Decision Trees? Explain

Data Science, AI and ML
#1

Decision Trees are mainly intuitive, easy to interpret as well as require less data preparation. In fact, they don’t require feature scaling or centering(standardization) at all. Such models are often called white-box models .

Decision Trees provide simple classification rules based on if and else statements which can even be applied manually if need be.

For Example, Flower classification for the Iris dataset.