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3 cards from this section. Quick, good the night before a test.
What is the purpose of a training set in AI?
Think about the initial learning phase of the model.
Why do we need a separate validation set?
Consider the aspect of ensuring the model generalizes.
What does the training set allow the model to do?
Focus on the purpose of each dataset.
True or False: The test set can be used during model training.
Think about the implications of evaluation integrity.
Design a hypothetical scenario where a model fails due to improper use of training, validation, and test datasets. Clearly explain how the failure occurred and suggest a proper dataset strategy.
Think about how unseen data can impact performance.
Critique a case where an organization decided to merge their validation set and training set, leading to lower accuracy in the model’s practical application. What alternatives could they have pursued?
What outcomes derive from validation merging?
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