Question: In a short analytical response, explain how a target error level and a plotted dev-loss trend can be used to judge whether collecting additional training examples is worthwhile.

Sample answer: Mark the desired error level on the graph, then extend the dev-loss trend beyond the observed points to estimate how much extra data might be needed to approach that level. This gives a rough planning estimate, not a promise of what will happen. In the example, the trend suggested that a larger training set, roughly about twice as large, could be enough to get near the goal.

Key points:

• Mark the goal level on the plot.
• Extend the dev-loss trend beyond the current data.
• Use the projection to estimate the possible gain from more examples.
• Treat the result as an approximation, not a certainty.
• Note that the example pointed to roughly doubling the training set.

Rubric: A strong response states how to place the target on the curve, describes extending the dev-loss trend to estimate the effect of added data, and explains that the conclusion is only an estimate rather than a guarantee.