What is the diagnosis and remedy when test results lag far behind dev results under the same data distribution?
Question: A spam classifier scores well on the dev set but much worse on the test set, and both splits were drawn from the same source distribution. What is the most likely diagnosis, and what is the most direct remedy?
Sample answer: The most likely diagnosis is that the model has become too tuned to the dev set. The most direct remedy is to collect more dev set examples.
Key points:
- Diagnosis: the system has overfit the dev set.
- Remedy: get more dev set data.
Rubric: The response must identify dev-set overfitting, or an equivalent description, as the diagnosis and obtaining more dev data, or an equivalent description, as the remedy.
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What is the diagnosis and remedy when test results lag far behind dev results under the same data distribution?