Supervised Learning Differs from Unsupervised Clustering in That Supervised Learning

question 9

Multiple Choice

Supervised learning differs from unsupervised clustering in that supervised learning requires

• A) at least one input attribute.
• B) input attriutes to be categorical.
• C) at least one output attribute.
• D) ouput attriubutes to be categorical.

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Definitions:

Documentation

The process of creating, keeping, and organizing records or documents for the purpose of evidence, history, or tracking.

Diagnosis

The identification of the nature and cause of a disease or condition through evaluation of patient history, examination, and review of laboratory data.

Insurance Information

Details and data pertaining to an individual's or entity's insurance policies, including coverage details, premiums, and beneficiary information.

Patient Care

The provision of services by healthcare professionals to patients, aiming at maintaining, improving, or managing health.