Learn Before
Why Dev and Test Sets Matter
Once the development and test sets are chosen, the team can compare candidate changes, such as different model settings or training choices. These sets provide a fast way to judge whether a change is helping, so the team can keep refining ideas that improve the system and stop spending time on ideas that do not.
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Related
Why Dev and Test Sets Matter
How to Select Dev and Test Data for the Future Task
Choose Dev and Test Sets to Match the Main Goal When Feasible
Revise Evaluation Data and Metrics When They Stop Serving the Goal
Set the First Development and Test Splits Early for a New Project
Choosing a Dev Set Large Enough to See Small Gains
What is the main role of a development set during model iteration?
Another Name for the Development Set
Another name for the development set
Match each development-split role to its description.
Order the steps for choosing between two candidate spam filters using a validation set.
Which option is NOT a typical purpose of a development set?
The validation set is used to update model weights in the same way as the training set.
The validation set is used to tune parameters, _____ features, and make other choices about the learning method.
Match each development-set use to the task that illustrates it.
Arrange the main stages of a project that uses a development set.
What is the development set used for in model building?
Choosing the right split for model selection decisions.
What are the main roles of a development set?
Learn After
Single-Score Model Evaluation
An Early Dev/Test Setup Speeds Model Iteration
Revise the evaluation setup when it stops matching the goal
Error Analysis
Reviewing Both Missed and Correct Dev-Set Examples
After a development set and a test set have been chosen, what are they mainly used for?
True or False: A development set score can provide a quick check on whether a new idea is moving a model in the right direction.
Dev and test sets give a quick check on how well a team’s _____ is performing.
Match each dev/test-set action with its main effect.
Arrange the basic workflow for using development and test sets to improve a model.
Explain why a dev set, test set, and metric help a machine learning team work efficiently.
Diagnosing a project with no evaluation set
In one to three sentences, explain how a validation set can guide which model ideas deserve more work.
How does dev set performance help a team choose which ideas to keep improving?
What do teams usually try once dev and test sets are fixed?
What do teams typically do after they have set up dev and test sets?
True or False: With a fixed development set and a single evaluation metric, a team can quickly tell whether a new idea is helping by a little or by a lot.
A development set and a chosen evaluation metric help a team compare ideas quickly and see whether each change is making progress.