Consider again the data in Table $1.$ We have data for another object, as shown in

Table $2,$ with an unknown classification.

Object S C F V

i$8$ l g w $?$

Table $2$: Object i$8$ with unknown classification.

$($a$)$ Use the Euclidian distance measure $($see Appendix on p$.6)$ to calculate

the distance between i$8$ and the $7$ instances in Table $1.$ Show the resulting

ordering. $(6)$

$($b$)$ kNN is often referred to as a lazy learner. What is meant by this? What are

the pros and cons of using kNN versus other learning algorithms? $(6)$

$($c$)$ Use kNN with k $=3$ to classify the new instance, i$8.(4)$

$($d$)$ Discuss the what the effect choosing k $=4$ would have on the classification

of the new instance, i$8?$ How would one ensure that there is a unambiguous

classification?