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Old 03-23-2019, 06:24 AM
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htlin htlin is offline
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Join Date: Aug 2009
Location: Taipei, Taiwan
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Default Re: The concept "h is fixed before you generate the data set" is extremely vague

Good question. Yes, the statement on page 22 does not fit into the actual learning scenario yet, as explained in your words and similarly on page 23. If you read on, you'll gradually see how we move closer to the actual scenario. What page 22 tries to say is that the fixed h (i.e. a readily-colored bin) is the assumption that the bin model needs. The closest real-world scenario is perhaps when someone hands you a hypothesis before anyone looks at the data (generated by someone else, say, on Kaggle). If you assume that the data generator gathers/generates the data i.i.d. from some distribution, you can *test* the hypothesis using the results on page 22.

Hope this helps.
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