What are the different types of decision trees?

What are the different types of decision trees?

There are mainly two types of decision trees: classification trees and regression trees. Classification trees are used for categorical outcomes, while regression trees are used for continuous outcomes.

Can you explain how classification trees work?

Sure! Classification trees split the data into branches based on feature values, leading to a decision at the leaves that represents the predicted class.

What about regression trees? How do they differ?

Regression trees also split data but predict continuous values instead of categories. They minimize the variance in the target variable.

Are there any other types of decision trees?

Yes, there are also ensemble methods like Random Forests and Gradient Boosting Trees, which combine multiple trees for better accuracy.