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Module 1: Introduction

20262m

Which statement about hypothesis space is correct? (i) A larger hypothesis space always gives better generalization (ii) Hypothesis space is unrelated to inductive bias (iii) A smaller hypothesis space always gives lower training error (iv) A larger hypothesis space can increase the risk of overfitting

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Answer: (iv) A larger hypothesis space can increase the risk of overfitting

A larger hypothesis space can represent more patterns, lowering training error, but may also fit noise. Generalization depends on data, regularization, model capacity and inductive bias; larger is not automatically better.

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