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Old 09-09-2014, 07:02 PM
PhilW PhilW is offline
Junior Member
Join Date: Sep 2014
Posts: 1
Default Exercise 1.12 - Failing to make Ein(g) small enough

Let's say I run my machine learning algorithm for my friend, taking care to ensure Ein(g) and Eout(g) are close enough, but I find that my Ein(g) = .5 or something terrible like that. What are my options for continuing to solve the machine learning problem? Is there any way for me to go back and change my hypothesis set without losing the theoretical guarantees that Ein(g) is close to Eout(g)?
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