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Old 06-20-2015, 03:51 AM
prithagupta.nsit prithagupta.nsit is offline
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Join Date: Jun 2015
Posts: 7
Default Re: Bias-Variance Analysis

Dear Prof. Mostafa,

The two hypothesis sets are:

g1(x) = b

g2(x) = α4 . x^4+ α3 x^3 + α2 x^2 + α1 +b

Analyze the decomposition of the generalization error into bias + variance + noise
by generating random samples of size N = 10, fitting the models gi , and determining the predictions and prediction errors for x = 0, 1/100, . . . , 10.

How to generalize noise and during the calculation of bias and variance, how can we ignore the error e in the target function?

How to determine the predictions and prediction errors for different values of x?
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