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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is hold-out validation?
π‘ Hint: Think about why we need to test a model.
Question 2
Easy
What are common ratios used in hold-out validation?
π‘ Hint: Consider what is typically understood in proportion.
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 is the primary purpose of hold-out validation?
π‘ Hint: What do we want to know after training a model?
Question 2
True or False: Hold-out validation consistently provides low variance results.
π‘ Hint: Consider the implications of different data distributions in results.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Imagine you have a dataset of 1,000 patients with only 5% having a rare disease. If you were to use hold-out validation, what pitfalls would you expect, and how would you mitigate them?
π‘ Hint: Consider the implications of class distribution.
Question 2
Create a practical example where you would use hold-out validation and explain how you would set up the experiment.
π‘ Hint: Consider the importance of the dataβs temporal aspect when setting splits.
Challenge and get performance evaluation