Choosing the Most Dependable Ways to Improve a Model
Case context: A team is building a model to classify customer support emails, but its accuracy has stalled. The team wants to choose improvement steps that are known to produce real gains.
Question: Based on the strategy described in the lesson, which two actions should the team commit to in order to improve performance in a dependable way?
Sample answer: The team should plan to use a larger network and collect more training data, because those are the dependable levers for improving model performance.
Key points:
- Use a larger network to increase the model’s capacity.
- Collect more data to strengthen learning.
- Recognize these as the two reliable improvement options.
Rubric: Check whether the student correctly recommends increasing model size and gathering more data as the dependable ways to improve the model.
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