Supervised Learning and Unsupervised Clustering Both Require at Least One

question 1

Multiple Choice

Supervised learning and unsupervised clustering both require at least one

• A) hidden attribute.
• B) output attribute.
• C) input attribute.
• D) categorical attribute.

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Definitions:

Representativeness Heuristic

A cognitive shortcut that involves judging the likelihood of an event based on how closely it resembles a typical case.

Subtypes

Categories that people use for individuals who do not fit a general stereotype.

Stereotypes

Widely held but fixed and oversimplified images or ideas of a particular type of person or thing, often based on limited information.

Discrimination

Unequal treatment of different people based on the groups or categories to which they belong.