When should I use decision trees?

What are decision trees and when should I use them?

Decision trees are a type of model used for classification and regression tasks. You should use them when you need a clear, interpretable model.

Can you give me an example of a situation where decision trees are beneficial?

Sure! They're great for scenarios with categorical data, like predicting customer churn based on various features.

Are there any limitations to using decision trees?

Yes, decision trees can overfit the data if they're too complex, and they can be sensitive to small changes in the data.

How do decision trees compare to other models?

They are easier to interpret than many models, but they may not perform as well as ensemble methods like random forests.