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What supervised learning usually predicts
Question: In traditional supervised learning, what is learned, and what did the prediction output usually look like?
Sample answer: A model learned a mapping h from inputs in X to outputs in Y. The prediction y was usually a numeric value, such as an integer or a real number.
Key points:
- The learner fit a mapping h from X to Y.
- The output y was usually numeric.
- Common numeric outputs included integers and real-valued numbers.
Rubric: The response should identify the learned mapping h:X→Y and state that the usual output was numeric, specifically including integers and real numbers.
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Related
What type of target value was most common in classic supervised learning tasks?
In traditional supervised learning, the target output y was usually an integer or a real number.
Complete the supervised-learning mapping: h: _____ → Y.
Match each symbol with its meaning in a basic supervised learning notation.
Order the steps for describing the usual supervised-learning output.
Describe the standard supervised-learning map and output type.
Determine whether the example matches a standard supervised-learning output type.
What supervised learning usually predicts
Which option best describes a standard supervised-learning setup?
The notation h: X→Y means X is the set of outputs and Y is the set of inputs.