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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does KNN stand for?
π‘ Hint: Recall the main term used in the algorithm.
Question 2
Easy
What is meant by majority voting in KNN?
π‘ Hint: Think about how votes are counted.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does the K in KNN represent?
π‘ Hint: Think about what the algorithm needs to decide the classes.
Question 2
True or False: KNN assumes a normal distribution of data.
π‘ Hint: Consider the flexibility of KNN in working with data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You are given a dataset with features that are on different scales. How would you ensure KNN performs effectively on this data?
π‘ Hint: Consider how distance is measured in KNN.
Question 2
Define a scenario where KNN might not perform well, and explain why.
π‘ Hint: Think about how distance behaves in more than three dimensions.
Challenge and get performance evaluation