Q$5$ Considered five prediction models M$1$ to M$5$ of classification and regression. In Table$-1$ and Table$-2,$ M$1$ to M$5$ are predicted values from five different models. Apply the ensemble approach to calculate the accuracy for M$1,$ M$2,$ M$3,$ M$4,$ M$5$ and ensemble model. Fill the accuracy table given below $($right side$).$

Note: Use voting for classification and average for regression model.

$\backslash$table$[[$Actual$,Mn,$M$2,M3,M4,$M$5,$Actual,$Mn,$M$2,M3,M4,$M$5],[0,0,0,1,1,1,5\mathrm{.}13,6\mathrm{.}84,6\mathrm{.}29,6\mathrm{.}76,10\mathrm{.}08,5\mathrm{.}38],[0,0,0,0,0,1,8\mathrm{.}83,9\mathrm{.}18,9\mathrm{.}44,6\mathrm{.}22,9\mathrm{.}6,5\mathrm{.}07],[0,1,0,0,1,0,9\mathrm{.}46,7\mathrm{.}61,7\mathrm{.}86,9\mathrm{.}05,5\mathrm{.}46,7\mathrm{.}3],[1,1,1,1,0,0,9\mathrm{.}35,7\mathrm{.}83,5\mathrm{.}89,8\mathrm{.}64,5\mathrm{.}65,10\mathrm{.}89],[0,0,0,1,0,0,10\mathrm{.}15,7\mathrm{.}04,7\mathrm{.}4,9\mathrm{.}43,8\mathrm{.}06,10\mathrm{.}12],[1,0,1,1,1,0,7\mathrm{.}36,8\mathrm{.}15,10\mathrm{.}09,5\mathrm{.}7,6\mathrm{.}66,10\mathrm{.}66],[1,1,1,0,1,1,8\mathrm{.}39,5\mathrm{.}46,8\mathrm{.}52,5\mathrm{.}77,6\mathrm{.}72,7\mathrm{.}7],[1,1,0,0,1,0,6\mathrm{.}48,8\mathrm{.}69,7\mathrm{.}77,5\mathrm{.}83,10\mathrm{.}41,9\mathrm{.}29],[1,0,1,0,1,0,10\mathrm{.}87,8\mathrm{.}64,6\mathrm{.}09,7\mathrm{.}77,5\mathrm{.}19,5\mathrm{.}52],[1,0,1,1,0,1,9\mathrm{.}64,10\mathrm{.}96,8\mathrm{.}13,6\mathrm{.}27,9\mathrm{.}99,8\mathrm{.}96],[$Table $1$: Classification Model,Table $2$: Regression Model$]]$

$\backslash$table$[[$Accuracy for Classification models$],[$M$1,$M$2,$M$3,$M$4,$M$5,\backslash$table$[[$Ensemble$],[$Model$]]],[,,,,,]]$

$\backslash$table$[[$Accuracy for Regression models $($with $+-1$