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Questions and Answers
What is the goal of a decision tree?
What is the goal of a decision tree?
- To fit complex datasets
- To predict class label (correct)
- To perform regression tasks
- To perform multioutput tasks
What do internal (non-leaf) nodes represent in a decision tree?
What do internal (non-leaf) nodes represent in a decision tree?
- Branches
- Classification label
- Regression task
- Tests an attribute (correct)
Which approach does the decision tree learning algorithm use?
Which approach does the decision tree learning algorithm use?
- Greedy approach (correct)
- Exhaustive approach
- Heuristic approach
- Randomized approach
What does Gini Impurity or Entropy help in making decisions for in a decision tree?
What does Gini Impurity or Entropy help in making decisions for in a decision tree?
What type of tasks can decision trees perform?
What type of tasks can decision trees perform?
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Study Notes
What is the goal of a decision tree? What do internal (non-leaf) nodes represent in a decision tree? Which approach does the decision tree learning algorithm use? What does Gini Impurity or Entropy help in making decisions for in a decision tree? What type of tasks can decision trees perform?
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