Skip to course content
Free course

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. What is the main question of this module?
  2. What would be an overclaim from this module's output?
  3. What simple baseline, comparison, or caution standard should be used?
  4. What data safety rule applies?
  5. What is one limitation that must appear in the final note?

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

Write 4-6 sentences explaining the result, the decision context, and at least two limits.

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.