Topic: Unsupervised Techniques

In order to perform feature selection for a predictive machine learning model, you decide to use the Weight by Relief operator on your Exampleset. You observe the following results:

$\backslash$table$[[$attribute$,$weight$],[$Year $3,0],[$Year $1,0\mathrm{.}228],[$Year $5,0\mathrm{.}826],[$Year $4,0\mathrm{.}870],[$Year $2,1]]$

Which of the five attributes would likely be least useful for this predictive model? $($Select one$)$

A$.$

Year $1$

B$.$

Year $2$

c$.$

Year $3$

D$.$

Year $4$

E$.$ Year $5$