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2 cards from this section. Quick, good the night before a test.
What is Hold-Out Validation?
Think about what happens to the data after splitting.
Why is K-Fold Cross-Validation used?
Consider the benefits of using multiple parts of the data.
What is the main purpose of data splitting techniques?
Consider why you need to test a model's performance.
True or False: K-Fold Cross-Validation can produce different outcomes based on the random selection of folds.
Think about how random selection plays a role.
Design a research experiment where you must use Nested Cross-Validation to avoid data leakage. Describe the dataset, the importance of both loops, and how you would proceed.
Think through all data's roles and how they must interact without leakages.
Evaluate a scenario where using Hold-Out Validation might lead to misleading conclusions. What could be the potential risks?
Reflect on how a biased representation in your test set could impact final assessment.
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