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Optimization Problem 6.1 #214

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mvalsania opened this issue Dec 11, 2024 · 0 comments
Open

Optimization Problem 6.1 #214

mvalsania opened this issue Dec 11, 2024 · 0 comments

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@mvalsania
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Hello everyone,

I just wanted to validate my answer to this question.

image

My current answer is:

  • The approximation error is not affected, as the family of functions remains unaltered.
  • The optimization error will remain the same, as it is chosen by the user (although one could argue that if n decreases, you could afford to choose a smaller optimization error).
  • The estimation error increases because our generalization error increases. A higher generalization error implies that both Ein and Eout will be further apart from each other, and thus, further from the approximation error.

I would appreciate any feedback or corrections!

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