Module 4: Model selection and validation

AINS6002 — Machine Learning & Predictive Modeling

Essential Question

How do we choose models without overfitting our evidence?

Core Moves

• Define the problem boundary

• Identify evidence and assumptions

• Build or evaluate the artifact

• Communicate limits and next actions

Lab & Assignment

Run cross-validation and summarize model tradeoffs.

Use the assignment notebook to turn lab evidence into a defensible recommendation.