Separate a Feature from a Training Label
Distinguish input information, known teaching outcome and model output before evaluating a case.
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 feature is information supplied to a model. A training label identifies the outcome used in supervised learning examples. A prediction is the model’s output for a case. Using the target answer as an input can leak information and make a reported test misleading. Our dataset is fictional and fully supplied.
Distinguish input information, known teaching outcome and model output before evaluating a case. The future answer should not be included as a feature when it is unavailable at prediction time.
Use this supplied case: Input includes recorded object size. Classify the field in the stated supervised model. 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.
- Distinguish input information, known teaching outcome and model output before evaluating a case.
- 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
Input includes recorded object size. Classify the field in the stated supervised model. The supported answer is Feature. Distinguish input information, known teaching outcome and model output before evaluating a case. The future answer should not be included as a feature when it is unavailable at prediction time. The supplied facts, rather than an assumed real-world detail, determine this paper case. Compare the recorded action or value with the stated rule before choosing an answer.
Check your reasoning
Your answer is temporary and is not saved to an account. Download your current answer before leaving or reloading. Written work on paper or in another app stays in your own file.
Helpful tips
- Distinguish input information, known teaching outcome and model output before evaluating a case.
- The future answer should not be included as a feature when it is unavailable at prediction time.
See the answer and explanation
Training label
The supplied case states: Training row includes known object category. Classify the field in the stated supervised model. Under the stated distinction, this identifies Training label. A feature is information supplied to a model. A training label identifies the outcome used in supervised learning examples. A prediction is the model’s output for a case. Using the target answer as an input can leak information and make a reported test misleading. Our dataset is fictional and fully supplied. Distinguish input information, known teaching outcome and model output before evaluating a case.
Take it further
A supervised toy model uses recorded size to predict shape. Expected: size is a feature, the known training shape is a label, and the model’s guessed shape is a prediction.
Nothing here is saved to an account or sent to a teacher. The answer download includes your current choice and any checked feedback. It does not include choices from the separate More practice section. Download that section separately.
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.
Your choices are temporary. Feedback appears after you check all the answers.
Nothing here is saved to an account or sent to a teacher. Keep your own notes or download them before leaving. The score describes these questions; it does not certify subject mastery.
Check the subject sources
These LifeStarter passages, scenarios and exercises are authored for this Academy with AI assistance and review. External resources keep their publishers’ terms. A grade label suggests a starting level; it does not establish alignment with your school’s complete requirements.