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Questions and Answers
What is an advantage of decision trees?
What is an advantage of decision trees?
- They generate understandable rules (correct)
- They are computationally expensive to train
- They are not capable of handling regression problems
- They require a large amount of computation
What is a disadvantage of decision trees?
What is a disadvantage of decision trees?
- They perform classification without requiring much computation
- They are capable of handling both classification and regression problems
- They are less appropriate for regression tasks (correct)
- They are not prone to errors in classification problems
What is the purpose of pruning in the context of decision trees?
What is the purpose of pruning in the context of decision trees?
- To reduce the accuracy of the model
- To add more features to the model
- To increase the complexity of the model
- To remove unwanted branches of the tree to reduce complexity (correct)
When are decision trees prone to errors?
When are decision trees prone to errors?
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How computationally expensive are decision trees to train?
How computationally expensive are decision trees to train?
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