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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Gini impurity?
💡 Hint: Think about classification accuracy.
Question 2
Easy
What Gini impurity value implies a pure node?
💡 Hint: Consider what purity means in classification.
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 does a Gini impurity value of 0 signify?
- All classes are mixed
- All classes are pure
- Some classes are overlapped
💡 Hint: Consider what purity means in classification terms.
Question 2
True or False: A higher Gini impurity indicates a more homogeneous dataset.
- True
- False
💡 Hint: Think of Gini impurity as a measure of mixture.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset of 50 samples, where 30 belong to Class A, 15 to Class B, and 5 to Class C, calculate the Gini impurity. What is the effect on Gini impurity after selecting a split that results in two child nodes, one consisting of all Class A and B samples and the other containing Class C?
💡 Hint: Always calculate Gini impurity for both initial and resultant nodes.
Question 2
In a decision tree where you realize Gini impurity continues to increase with splits constantly, suggest alternative nodes or strategies to help reduce impurity effectively.
💡 Hint: Think about tree complexity and its effect on generalization.
Challenge and get performance evaluation