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Machine Learning Foundations / Module 10

Module 10 check

Module 10 Assessment: Capstone Submission Check

Assessment ID: ML-M10-QA01 Estimated active time: 35-50 minutes Status: Draft

Part A: Concept checks

Answer in one or two sentences.

  1. State the decision, unit, target and error costs from your framing.
  2. What is the repeated unit, and how did you verify your split has no overlap?
  3. Report both baselines and your model on the same split.
  4. What threshold did you choose, and what cost asymmetry justified it?
  5. What are the three limitations a reader must know before acting on this?

Part B: Applied task

Use the supplied synthetic dataset to complete the module activity: Complete one end-to-end supervised learning study with a notebook and short report.

Part C: Explanation

Write the model-card summary: what it does, what it scores against baseline, where it must not be used, and what you would do next.

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.