Let us have the training dataset consisting of $3$ data points $($with coordinates on the XoY plane in the form of $($x$,$y$))$: $(-2,0),(0,2),$ and $(2,0).$ The test set consists of $1$ point with x $=(1\mathrm{.}9)$ and the ground truth label y $=0\mathrm{.}25.$ We are using the Euclidian $($or l$2)$ metric. Select the correct option below

Note: input features are $1-$dimensional $($x$-$coordinate$),$ while output label is y$-$coordinate on the XoY plane.

Let us have the training dataset consisting of $3$ data points $($with coordinates on the XoY plane in the form of $($x$,$y$))$: $(-2,0),(0,2),$ and $(2,0).$ The test set consists of $1$ point with x $=(1\mathrm{.}9)$ and the ground truth label y $=0\mathrm{.}25.$ We are using the Euclidian $($or l$2)$ metric. Select the correct option below

Note: input features are $1-$dimensional $($x$-$coordinate$),$ while output label is y$-$coordinate on the XoY plane.

The mean test error of $1-$NN Regression method is less than it is for $2-$NN method test error

The mean test error of $1-$NN Regression method is the same as it is for $2-$NN method test error

The mean test error of $1-$NN Regression method is greater than it is for $2-$NN method test error

None of the above