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Find the error for the tree of example 13.12 using resubstitution and an independent test sample. Compare the results with crossvalidation.
Example 13.12
We return to the same data that was used in the previous example, where we now add random noise to the responses. We generate the data as follows.
% We add noise to the response variables, as follows:
y(1:50) = 2+sqrt(2)*randn(1,50);
y(51:100) = 3+sqrt(2)*randn(1,50);
y(101:150) = 10+sqrt(2)*randn(1,50);
y(151:200) = -10+sqrt(2)*randn(1,50);