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Applied Machine Learning Algorithms / Module 8

Module 8 activity

Activity: Create a feature and inspection memo

Estimated active time: 45-75 minutes

Scenario

Use the synthetic learner-support dataset. The fictional platform wants to decide which model families deserve a place in an algorithm portfolio.

Task

Create a short module report about Feature Selection, Dimensionality, and Inspection. Use the notebook and helper output as evidence, then write a plain-language recommendation.

Required sections

  1. Problem and decision.
  2. Baseline comparison.
  3. Candidate reason.
  4. Main sensitivity or tuning note.
  5. Keep, delay, or reject decision.
  6. Limitation note.

Rules

  • Do not use the test set for model selection.
  • Do not claim real learner readiness from synthetic data.
  • Do not keep a more complex method unless it earns its place against simpler evidence.

Output

Use the relevant learner-resource template from learner-resources/ or write a one-page memo with the same sections.