Describe one early planning direction for building a junk-email classifier
Question: In the context of starting a new junk-email classifier, one possible direction is to spend effort collecting a very large set of spam and unwanted messages. What does that direction involve, and how does it function in the team’s early planning?
Sample answer: That direction means committing resources to assemble a very large labeled dataset of unwanted email so a model can be trained on it. In the early design stage, the team usually considers several possible approaches before choosing one. Building a huge training set is one of those candidate directions, not the only possible path.
Key points:
- It focuses on assembling a very large dataset of unwanted email.
- It is one option among several ideas considered at the start of the project.
- It is a data-centered strategy that should be compared with other approaches.
Rubric: The answer should explain that this direction is about gathering a large training dataset of spam or junk email. It should also state that this is one possible project direction among several that can be evaluated during early planning.
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