FAQ 2:
What are the limitations of decision trees in machine learning?

Decision trees can overfit the training data, resulting in poor performance on new data. They are also sensitive to small changes in the dataset, and complex decision trees can be difficult to comprehend.

FAQ 3:
What types of decision trees exist?

Some common types of decision trees include binary decision trees, multi-output decision trees, regression trees, classification trees, and random forests. Each type has its own specific applications and characteristics.