How does the splitting attribute affect the outcome of a decision tree? Explain how the splitting attribute of the given dataset can be determined using any one of the methods you have lInstanceearned

Instance noClass label $.$ x$1,$x$2$

$1,1,$t$,$T

$2,1,$T$,$T

$3,0,$T$,5$f$,$

$4,1,$F$,$F

$5,0,$F$,$T

$6,0,$F$,$T