Suppose you have a linear regression model with $10$ input features. To prevent overfitting, you want to use L$1$ regularization. If the regularization parameter lambda is set to $0\mathrm{.}1,$ what is the value of the L$1$ regularization term for the following set of weights:

w $=[0\mathrm{.}5,-1\mathrm{.}2,0\mathrm{.}7,1\mathrm{.}0,-0\mathrm{.}8,0\mathrm{.}3,0\mathrm{.}1,-0\mathrm{.}2,0\mathrm{.}5,-0\mathrm{.}3]$

Suppose you have a linear regression model with $10$ input features. To prevent overfitting, you want to use L$1$ regularization. If the regularization parameter lambda is set to $0\mathrm{.}1,$ what is the value of the L$1$ regularization term for the following set of weights:

w $=[0\mathrm{.}5,-1\mathrm{.}2,0\mathrm{.}7,1\mathrm{.}0,-0\mathrm{.}8,0\mathrm{.}3,0\mathrm{.}1,-0\mathrm{.}2,0\mathrm{.}5,-0\mathrm{.}3]$

$0\mathrm{.}36$

$0\mathrm{.}46$

$0\mathrm{.}56$

$3\mathrm{.}6$

$5\mathrm{.}6$