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Grade 10 · unit review

Review: Assess Data-Driven Decisions and Tradeoffs

A model has 3 false positives and 2 false negatives under 2/5 point weights. It detects 6 of 8 positives and receives a 0.6 score under the supplied action policy. Calculate and explain the bounded decision.

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Use these 4 new cases to check your reasoning. Choices are temporary and are not saved to an account, sent to staff or recorded as school grades. Download your current review choices before leaving or reloading.

Unit review questions
1. Fictional policy: each false positive costs 2 points; each false negative 5 points. FP=3,FN=4. Total modeled error cost?
Need a hint?
  • Multiply each error count by its stated weight and add the two contributions.
  • Do not assume equal error counts mean equal modeled consequences.
2. Labeled set: 12 actual positives; model detects 9 of them. Positive-category recall percentage?
Need a hint?
  • Divide detected positives by the number of actual positives in the supplied labeled set.
  • Do not use all predictions or predicted positives as the recall denominator.
3. Score 0.4. Contract: a valid score is a real number from 0 to 1 inclusive; reject anything outside that contract before using thresholds. For valid scores, score≥0.8 requires human review for action; 0.4≤score<0.8 holds for more evidence; score<0.4 does not act. Choose the documented action.
Need a hint?
  • Apply the documented action policy rather than treating a score as an automatic real-world verdict.
  • Model confidence is not permission to bypass a stated human review step.
4. Missing-input rate 10%. Policy: review if missing-input rate>10%; otherwise continue monitoring; absent measurements stay unknown. Choose status.
Need a hint?
  • Compare the measured condition with the stated review rule and identify what further evidence is needed.
  • A drift alert indicates a review need, not proof of one specific cause.

The download contains your current choices and any checked feedback. Keep the separate transfer-task work in your own document; downloading its instructions does not mark it complete.

Use the skills in a new task

A model has 3 false positives and 2 false negatives under 2/5 point weights. It detects 6 of 8 positives and receives a 0.6 score under the supplied action policy. Calculate and explain the bounded decision.

Work on paper or in your own document. Explain the choices you made.

  • Use only supplied fictional inputs and state the relevant rule.
  • Include labeled steps or evidence for each decision.
  • Name one limitation or tempting mistake.
  • Check that the result meets the task and revise a justified error.
Compare with a model response

Modeled error cost is 3×2+2×5=16 points. Recall is 6/8=75%. Score 0.6 triggers holding for more evidence, not automatic action. These calculations do not establish universal fairness or a guaranteed individual outcome.

A different response can also meet the criteria. Compare the evidence and reasoning, rather than copying the wording.