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Machine Learning Foundations / Module 6

Module 6 check

Module 06 Assessment: Metrics and Thresholds Check

Assessment ID: ML-M06-QA01 Estimated active time: 35-50 minutes Status: Draft

Part A: Concept checks

Answer in one or two sentences.

  1. What does the confusion matrix show that accuracy alone does not?
  2. Report precision and recall at three thresholds.
  3. Which error type costs more in this scenario, and what follows for the threshold?
  4. What did the ten most confident mistakes have in common?
  5. Why is a bucket of fewer than ten rows unreliable evidence?

Part B: Applied task

Use the supplied synthetic dataset to complete the module activity: Compare thresholds and write why one operating point fits the decision better.

Part C: Explanation

Explain your threshold choice, the error pattern you found, and two limits on the metric you reported.

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.