$2($a$)$ Compare and contrast the three primary ensemble learning model combination

schemes: Voting, Error$-$Correcting Output Codes, and Bagging. Given an ensemble

model with three base models, A$,$ B$,$ and C$.$ If A$\text{'}$s accuracy is $80\%,B^{\text{'}}$ s accuracy is

$85\%,$ and C$\text{'}$s accuracy is $75\%,$ calculate the accuracy of the ensemble using majority

voting,