Practice Hold-out Validation (12.3.A) - Model Evaluation and Validation

Practice: Hold-Out Validation

Lesson 12.3.AModel Evaluation and Validation

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8 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is hold-out validation?
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Think about why we need to test a model.
Question 2.
What are common ratios used in hold-out validation?
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Consider what is typically understood in proportion.
3Question 3.
What is the primary purpose of hold-out validation?
- To optimize hyperparameters
- To evaluate model performance
- To preprocess data
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What do we want to know after training a model?
4Question 4.
True or False: Hold-out validation consistently provides low variance results.
- True
- False
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Consider the implications of different data distributions in results.
Question 5.
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?
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Consider the implications of class distribution.
Question 6.
Create a practical example where you would use hold-out validation and explain how you would set up the experiment.
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Consider the importance of the data’s temporal aspect when setting splits.

4 more questions in this section. Enroll free to practise them all.