5 Questions
What is an advantage of decision trees?
They generate understandable rules
What is a disadvantage of decision trees?
They are less appropriate for regression tasks
What is the purpose of pruning in the context of decision trees?
To remove unwanted branches of the tree to reduce complexity
When are decision trees prone to errors?
In classification problems with many classes and a relatively small number of training examples
How computationally expensive are decision trees to train?
They are computationally expensive to train
Test your understanding of decision trees in machine learning, including their benefits and drawbacks. Learn about the advantages of decision trees, such as generating understandable rules and handling both classification and regression problems. Also, discover their limitations, including being prone to errors in certain classification problems.
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