Question: What is a disadvantage of Decision Trees in real-world applications?

Options:

1. They are easy to interpret
2. They can easily overfit the training data
3. They require a lot of data preprocessing
4. They are computationally inexpensive

Correct Answer: They can easily overfit the training data

Solution:

Decision Trees can easily overfit the training data, especially with complex datasets.