Practice Decision Tree - 2.2 | Classification Algorithms | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does a Node in a Decision Tree represent?

💡 Hint: Think about what happens at each point in the tree.

Question 2

Easy

What is a Leaf Node?

💡 Hint: Consider where the tree branches end.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is a Decision Tree used for?

  • Regression
  • Classification
  • Clustering

💡 Hint: Think about predicting categories.

Question 2

True or False: A Leaf Node represents a decision point in a Decision Tree.

  • True
  • False

💡 Hint: Remember what happens in nodes versus leaf nodes.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Construct a Decision Tree model using a given dataset and interpret its first two splits. Explain how each feature led to the decisions made.

💡 Hint: Look at the criteria used for each split.

Question 2

Compare the use of Gini impurity and Information Gain. When might one be preferred over the other when constructing a Decision Tree?

💡 Hint: Consider the datasets size and targeted outcomes.

Challenge and get performance evaluation