In this problem we will analyze ridge regression, where we aim to minimize the following objective

function

$J(\frac{?}{\text{b}\text{a}\text{r}}())=\frac{}{2}|\frac{|}{b}ar()|{|}^2+{\displaystyle \underset{i=1}{\overset{n}{}}}Los{s}_{\text{s}\text{q}\text{u}\text{a}\text{r}\text{e}\text{d}}(y^{(i)}-(\frac{?}{\text{b}\text{a}\text{r}}())*{\stackrel{}{x}}^{(i)})$

Q$1\mathrm{.}1$

$1$ Point

Increasing $$ will

the complexity of the regression function in the input space.

increase

decrease