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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of the splitting process in decision trees?
💡 Hint: Consider why we want data to be pure.
Question 2
Easy
Define Gini impurity in your own words.
💡 Hint: Think about how probability relates to class labels.
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 the main goal of the splitting process in a decision tree?
- To increase tree depth
- To enhance data purity
- To reduce overall data size
💡 Hint: Remember the primary focus of each node in a decision tree.
Question 2
True or False: Gini impurity and Entropy both measure node purity.
- True
- False
💡 Hint: Think about how both contribute to understanding node quality.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a decision tree for predicting whether a student will pass a course based on hours studied, attendance, and previous grades. Include key impurity measures and pruning techniques.
💡 Hint: Think about each feature's influence on passing rates.
Question 2
Evaluate the potential of using decision tree models in healthcare classifications. Discuss how pruning may impact such models.
💡 Hint: Reflect on how patient data nuances can affect predictions and the need for model clarity.
Challenge and get performance evaluation