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Machine Learning Foundations / Module 9

Module 9 check

Module 09 Assessment: Responsible Use Check

Assessment ID: ML-M09-QA01 Estimated active time: 35-50 minutes Status: Draft

Part A: Concept checks

Answer in one or two sentences.

  1. Which slices did you evaluate, and when did you decide on them?
  2. Report accuracy and positive rate for each group, with row counts.
  3. Is any group too small for its metric to be stable? Show the numbers.
  4. Name one decision this model must not be used to make.
  5. Who is under-represented in this data, and what follows for them?

Part B: Applied task

Use the supplied synthetic dataset to complete the module activity: Compare safe operational slices and write a monitoring and stop-condition memo.

Part C: Explanation

Explain the gap between your best and worst slice, and state plainly what the model should not be used to decide.

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.