$[-$ Point $1$: Class $A,$ Distance from test point $=0\mathrm{.}5],[-$ Point $2$: Class $B,$ Distance from test point $=0\mathrm{.}2],[-$ Point $3$: Class $A,$ Distance from test point $=1\mathrm{.}5],[-$ Point $4$: Class $B,$ Distance from test point $=0\mathrm{.}3]$

Given a new test point, what would be its predicted class using the kNN algorithm with Euclidean

distance as the distance metric? $($Points $=4)$

A$)$ Class A

B$)$ Class B

C$)$ Cannot be determined without more data

D$)$ None of the above