Practice Decision Tree (2.2) - Classification Algorithms

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10 questions

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6 sample questions

Question 1.
What does a Node in a Decision Tree represent?
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Think about what happens at each point in the tree.
Question 2.
What is a Leaf Node?
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Consider where the tree branches end.
3Question 3.
What is a Decision Tree used for?
- Regression
- Classification
- Clustering
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Think about predicting categories.
4Question 4.
True or False: A Leaf Node represents a decision point in a Decision Tree.
- True
- False
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Remember what happens in nodes versus leaf nodes.
Question 5.
Construct a Decision Tree model using a given dataset and interpret its first two splits. Explain how each feature led to the decisions made.
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Look at the criteria used for each split.
Question 6.
Compare the use of Gini impurity and Information Gain. When might one be preferred over the other when constructing a Decision Tree?
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Consider the datasets size and targeted outcomes.

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