Assume that the feature matrix X has only one column, with values evenly distributed between 0 and 1, and the true function f is deterministic and defined such that to yi = x 2 i . If our modeling algorithm is only allowed to produce a fb equal to a linear function of xi , illustrate using a hand drawn plot how (in this case) the low model complexity directly leads to model bias.
Already registered? Login
Not Account? Sign up
Enter your email address to reset your password
Back to Login? Click here