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Explain the traditional supervised learning formulation and its usual output form.
Question: In a concise analytical response, explain what h:X→Y represents and characterize the usual output y in traditional supervised learning applications.
Sample answer: Traditional supervised learning learned a function h that maps from X to Y. Within this formulation, the output y was usually an integer or a real number.
Key points:
- Traditional supervised learning learns h.
- The function is represented as h:X→Y.
- The output is y.
- y was usually an integer or a real number.
Rubric: A complete response accurately identifies h as the learned function, describes the mapping from X to Y, and states that y was usually an integer or a real number. Do not award full credit if either output form is omitted.
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