Distinguish Two Types of Prediction Error
Compare the predicted category with the supplied actual category.
About 18 minutes, plus any extended practice
Supplied materials
- Paper and pencil; answers may also be spoken or typed.
- All cases, labels, numbers and rules are supplied on this page. No real account, private information or purchase is needed.
Learn the idea
A false positive predicts a positive outcome for a negative labeled case. A false negative predicts negative for a positive labeled case. Correct positive and correct negative are different from errors. The meanings of positive and negative must be defined before the labels are useful.
Compare the predicted category with the supplied actual category. A positive prediction is not proof that the labeled case is positive.
Use this supplied case: Predict reusable; label not reusable. Positive means reusable. Classify the prediction against its known label. The task is to connect the given information to the computing idea. Write a short evidence trail so another learner can reproduce your choice. The simplified case describes the stated model, not every real system.
- Represent the supplied worked case with a labeled drawing, table or short trace.
- Compare the predicted category with the supplied actual category.
- Explain why the worked answer fits and why one alternative does not.
- Try the new check and practice cases; revisit the stated rule if your evidence does not match.
See the method in action
Predict reusable; label not reusable. Positive means reusable. Classify the prediction against its known label. The supported answer is False positive. Compare the predicted category with the supplied actual category. A positive prediction is not proof that the labeled case is positive. A false positive predicts a positive outcome for a negative labeled case.
Check your reasoning
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Helpful tips
- Compare the predicted category with the supplied actual category.
- A positive prediction is not proof that the labeled case is positive.
See the answer and explanation
False negative
The supplied case states: Predict not reusable; label reusable. Positive means reusable. Classify the prediction against its known label. Under the stated distinction, this identifies False negative. A false positive predicts a positive outcome for a negative labeled case. A false negative predicts negative for a positive labeled case. Correct positive and correct negative are different from errors. The meanings of positive and negative must be defined before the labels are useful. Compare the predicted category with the supplied actual category.
Take it further
Predict not-reusable when the supplied label is reusable. Expected: false negative. Changing the prediction to reusable creates a correct positive.
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More practice: try new cases
Choose an answer for each problem. Explain your method on paper, then use the feedback to decide what to revisit.
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Check the subject sources
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