Some binary classification problem is considered. To estimate the quality of the model we consider some sample with the following target class labels:

y $=(1,0,0,0,1,1,0,0,1,0)^$T$.$

Some machine learning algorithm predicted the following values:

$\backslash$hat$\{$y$\}=(1,0\mathrm{.}4,0\mathrm{.}5,0\mathrm{.}7,0\mathrm{.}4,0\mathrm{.}1,0\mathrm{.}8,0\mathrm{.}9,0\mathrm{.}5,0\mathrm{.}7)^$T$.$

Compute the R$-$squared metric to estimate the goodness of fit of this model. Round your answer to two decimal places.

$1.1\mathrm{.}14$

$2.1\mathrm{.}15$

$3.2\mathrm{.}14$

$4.3\mathrm{.}14$