Quote:
Originally Posted by yaser
The bias does depend on the learning algorithm. It also depends on the number of examples, usually slightly.
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This version is often close to the best approximation so that's why we can take that liberty.
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Thanks for the explanation.
In HW4 #4 the average hypothesis is measurably shifted from the hypothesis set member giving the lowest mean squared error. Probably because two-point dataset is too small, i.e. this is not representative of realistic cases?