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Machine Learning Foundations / Module 8

Module 8 check

Module 08 Assessment: Model Comparison Check

Assessment ID: ML-M08-QA01 Estimated active time: 35-50 minutes Status: Draft

Part A: Concept checks

Answer in one or two sentences.

  1. Which model families did you compare, and on what shared split?
  2. Report accuracy, cost and one interpretability note for each.
  3. How much does the ranking move when you change the random seed?
  4. Which model would you deploy, and what trade-off did you accept?
  5. What would make you revisit that choice?

Part B: Applied task

Use the supplied synthetic dataset to complete the module activity: Compare bounded candidates, tune one model lightly, and justify the selected model.

Part C: Explanation

Explain your selection, the trade-off behind it, and what the seed sensitivity implies about how firm the ranking is.

Rubric

LevelEvidence
PassCompletes the activity, explains the output in plain English, compares or limits the result properly, and avoids overclaiming.
ReviseCompletes most of the task but misses one important comparison, limitation, or data-safety boundary.
Not yetTreats synthetic results as real-world proof, omits the required evidence, or ignores the module safety rule.

Safety rule

Do not use real personal, confidential, employer, client, health, financial, authentication, or sensitive data.