How many bad training examples should you inspect first?
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What should you do first when a model is making many mistakes on the training set?
True or False: A useful way to inspect training mistakes is to group them into categories and count how often each type appears, similar to dev-set error analysis.
How many bad training examples should you inspect first?
Match Each Training-Review Idea to Its Description
Put the training-set review process in the correct order.
Why inspecting a small set of bad training cases can reveal training-set problems
Diagnosing Poor Training Performance in a Speech Model
What should you do when training performance is poor?
What is the main purpose of reviewing training examples that the model handles poorly?
True or False: Diagnosing model failures requires checking every training example in the dataset.