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Old 07-19-2012, 03:42 PM is offline
Junior Member
Join Date: Jul 2012
Posts: 3
Default question on 2.8 and 2.9

Could someone please help to clarify:

Homework 2.8 says repeat the experiment 1000 times. Does it mean generate 1000 input training set +10% noise and find average E_in ? (as linear regression uses closed form solution for W, so there is nothing random if we run 1000 times on the same training set ).

Homework 2.9 says transform the training data set to a 6d feature space. If we have 1000 training sets created in 2.8, which one is 2.9 referring to?

Thanks a lot,

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