Practice Hold-Out Validation - 12.3.A | 12. Model Evaluation and Validation | Data Science Advance
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Hold-Out Validation

12.3.A - Hold-Out Validation

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is hold-out validation?

💡 Hint: Think about why we need to test a model.

Question 2 Easy

What are common ratios used in hold-out validation?

💡 Hint: Consider what is typically understood in proportion.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of hold-out validation?

To optimize hyperparameters
To evaluate model performance
To preprocess data

💡 Hint: What do we want to know after training a model?

Question 2

True or False: Hold-out validation consistently provides low variance results.

True
False

💡 Hint: Consider the implications of different data distributions in results.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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?

💡 Hint: Consider the implications of class distribution.

Challenge 2 Hard

Create a practical example where you would use hold-out validation and explain how you would set up the experiment.

💡 Hint: Consider the importance of the data’s temporal aspect when setting splits.

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