Discuss the importance of data : Advantages and Disadvantages of Decision Trees

The video tutorial discusses decision trees, highlighting their advantages over classical methods like linear and logistic regression. Decision trees are easy to explain, mirror human decision-making, and handle qualitative data without dummy variables. However, they may lack predictive accuracy compared to other methods. Enhancements like ensemble methods can improve their performance. Future videos will cover sampling techniques.

Why are decision trees considered easy to explain?

What technique can be used to improve the performance of decision trees?