Match each learning-curve element to its use when thinking about the value of additional data.
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More Data Often Raises Training Error
Training Set Error Is Usually Lower Than Dev Set Error
Why plot training error when judging whether more data might improve a model?
A development-error curve computed by itself can be hard to project to much larger training sets.
The extra plot used to judge whether more data will help is _____.
Match each learning-curve element to its use when thinking about the value of additional data.
Arrange the steps for judging whether more data may help a model.
How does training error help assess the value of more data?
Estimating the Benefit of More Data
Why add a training-error curve?
What extra plot helps judge the value of collecting more data?
Training loss can help interpret a validation-loss curve when estimating the value of more data.