COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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State whether the statements are True or False.Statement A:When the hypothesis space is richer, overfitting is more likely.Statement B:When the feature space is larger, overfitting is more likely.
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False, False
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True, False
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True, True
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False, True
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Explanation:
Detailed explanation-1: -Answer: The correct answer is b. True False.
Detailed explanation-2: -When hypothesis space is small, it’s more biased with less variance. So with a small hypothesis space, it’s less likely to find a hypothesis to fit the data very well, i.e., overfit.
Detailed explanation-3: -The purpose of restricting hypothesis space in machine learning is so that these can fit well with the general data that is needed by the user. It checks the reality or deception of observations or inputs and examinations them appropriately.
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