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What is most important when selecting a model?

Answer and explanation

Correct answer: The type of problem and the nature of the data

Selecting an appropriate model depends mainly on the problem objective—such as classification, regression, or clustering—and on the nature and quality of the available data. The computer’s color, chair height, and file-name length do not determine whether a model is suitable.

Related tags

Artificial IntelligenceClass 12Part B: Subject Specific SkillsUnit 2: Data Science MethodologyModel SelectionMachine Learning

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