Yes, when computing bias and var numerically you need to generate many data sets. For example,
is the average function that results from learning on each of these data sets.
Quote:
Originally Posted by nahgnaw
When we design the numerical experiment, shall we randomly generate more datasets to determine g_bar(x), E_out, bias, and var?
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