Case context: Project North has been diagnosed with high avoidable bias in its neural network. Project South has been diagnosed with high variance in its system.

Question: Using the simple remediation formula, what should each project do, and why?

Sample answer: Project North should increase model capacity, for example by adding layers or hidden units, because the diagnosis is high avoidable bias. Project South should collect more training examples because the diagnosis is high variance.

Key points:

• Project North should use a larger model.
• Adding layers or hidden units is a valid example for Project North.
• Project South should add more training data.
• Each recommendation must match the diagnosed problem.

Rubric: The response should assign a larger model to Project North and more training data to Project South, with each recommendation tied to the correct diagnosis.