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Question34 Which of the following statement(s) correctly describe properties of Supervised Learning?Select one or more alternatives: Supervised Learning cannot handle regression problems, as it is designed for discrete outputs. Supervised Learning can be used for classification tasks. Supervised Learning algorithms learn from input-output pairs to make predictions. Supervised Learning algorithms require labeled data for both training and testing ResetMaximum marks: 3 Flag question undefined
Options
A.Supervised Learning cannot handle regression problems, as it is designed for discrete outputs.
B.Supervised Learning can be used for classification tasks.
C.Supervised Learning algorithms learn from input-output pairs to make predictions.
D.Supervised Learning algorithms require labeled data for both training and testing
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Step-by-Step Analysis
The question asks which statements correctly describe properties of Supervised Learning, and it allows multiple true options. We will assess each choice in turn before identifying which are correct.
Option 1: 'Supervised Learning cannot handle regression problems, as it is designed for discrete outputs.' Th......Login to view full explanationLog in for full answers
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