Activity: Create a probability-quality report
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 Probabilistic Classifiers and Calibration. Use the notebook and helper output as evidence, then write a plain-language recommendation.
Required sections
- Problem and decision.
- Baseline comparison.
- Candidate reason.
- Main sensitivity or tuning note.
- Keep, delay, or reject decision.
- 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.