Question: What is a potential drawback of using a very deep Decision Tree?

Options:

1. It may not capture complex patterns.
2. It can lead to overfitting.
3. It requires more computational resources.
4. It is less interpretable.

Correct Answer: It can lead to overfitting.

Solution:

A very deep Decision Tree can lead to overfitting, where the model learns noise in the training data rather than generalizable patterns.