Machine Learning Problem has three possible outcomes: "child", "youth $"$ and "old" $.$ A Hypothesis space ace containing eight possible hypotheses h$1,$ h$2,$ h$3,$ h$4,$ h$5,$ h$6,$ h$7,$ h$8$ and raining data D: h $*1/$ D $)=0\mathrm{.}3.$ P$($ h $2|$D$)=0\mathrm{.}4.$ P$($ h $3|$D$)=0\mathrm{.}3$ P$($ h $4|$D$)=0\mathrm{.}2.$ P$($ h $5|$D$)=0\mathrm{.}1,$ P$($ h $6|$D$)=0\mathrm{.}4.$ h $7|$D$)=0\mathrm{.}5$ P$($h $*8/$ D$)=0\mathrm{.}3.$ ven a new instance x such that hl$($x$)=$ child, h $*2($x$)=$ youth, h $*3($x$)=$ old h $*4($x$)=$ old $($x$)=$ youth, h$6($x$)=$ child, h $*7($x$)=$ old h$8($x$)=$ youth. a$)$ What is the "most probable classification of x$"?$ Formula for computing most probable classification is: P$($v j $|$D$)=$ sum h i in H P$($ vj $|$hi$)$P$($hi$|$D$)$ ere classifications can be any value v$\_\{$j$\}$ from a set of values V$.5)$ Is the classification assigned by the "most probable hypothesis" is the same a